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Twitter API with Python: Part 1 -- Streaming Live Tweets
 
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In this video, we make use of the Tweepy Python module to stream live tweets directly from Twitter in real-time. In order to follow along, you will require: 1. A Twitter account, 2. Python. Assuming you have both of these, go ahead and install the "tweepy" module by running the following command inside a terminal shell. pip install tweepy Once we have this, we make a Twitter application that will be used to interface with Python code we will write, and allow us to stream and process live tweets. After creating the Twitter application, we will leverage the "tweepy" module to stream the tweets. Relevant Links: Part 1: https://www.youtube.com/watch?v=wlnx-7cm4Gg Part 2: https://www.youtube.com/watch?v=rhBZqEWsZU4 Part 3: https://www.youtube.com/watch?v=WX0MDddgpA4 Part 4: https://www.youtube.com/watch?v=w9tAoscq3C4 Part 5: https://www.youtube.com/watch?v=pdnTPUFF4gA Tweepy Website: http://www.tweepy.org/ Tweepy Docs: https://tweepy.readthedocs.io/en/v3.5.0/ Create Twitter Application: https://apps.twitter.com/ GitHub Code for this Video: https://github.com/vprusso/youtube_tutorials/tree/master/twitter_python/part_1_streaming_tweets This video is brought to you by DevMountain, a coding boot camp that offers in-person and online courses in a variety of subjects including web development, iOS development, user experience design, software quality assurance, and salesforce development. DevMountain also includes housing for full-time students. For more information: https://devmountain.com/?utm_source=Lucid%20Programming Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe
Views: 46955 LucidProgramming
Twitter Sentiment Analysis - Learn Python for Data Science #2
 
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In this video we'll be building our own Twitter Sentiment Analyzer in just 14 lines of Python. It will be able to search twitter for a list of tweets about any topic we want, then analyze each tweet to see how positive or negative it's emotion is. The coding challenge for this video is here: https://github.com/llSourcell/twitter_sentiment_challenge Naresh's winning code from last episode: https://github.com/Naresh1318/GenderClassifier/blob/master/Run_Code.py Victor's Runner up code from last episode: https://github.com/Victor-Mazzei/ml-gender-python/blob/master/gender.py I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ More on TextBlob: https://textblob.readthedocs.io/en/dev/ Great info on Sentiment Analysis: https://www.quora.com/How-does-sentiment-analysis-work Great sentiment analysis api: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis Read over these course notes if you wanna become an NLP god: http://cs224d.stanford.edu/syllabus.html Best book to become a Python god: https://learnpythonthehardway.org/ Please share this video, like, comment and subscribe! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Two Minute Papers Link: https://www.youtube.com/playlist?list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 281229 Siraj Raval
Mining Twitter with Python : 2 - Collecting data from Twitter
 
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In order to interact with the Twitter APIs, we need a Python client that implements the different calls to the APIs itself. We will use Tweepy in these tutorials and see how to build our application in multiple parts to collects data from our own Twitter timeline and other users timeline. ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 10221 Sukhvinder Singh
Twitter Data Mining using Python
 
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For complete professional training visit at: http://www.bisptrainings.com/course/Python-for-Beginners Follow us on Facebook: https://www.facebook.com/bisptrainings/ Follow us on Twitter: https://twitter.com/bisptrainings Email: [email protected] Call us: +91 975-275-3753 or +1 386-279-6856
Views: 29159 Amit Sharma
Mining Twitter with Python : 1 - Hashtags, Topics, and Time Series
 
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Twitter is one of the most well-known online social networks that enjoy extreme popularity in the recent years. We will start looking at data mining on Twitter and how to interact with Twitter API. ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 5536 Sukhvinder Singh
Twitter Sentiment Analysis in Python using Tweepy and TextBlob
 
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In this tutorial we will do sentiment analysis in python by analyzing tweets about any topic happening in the world to see how positive or negative it's emotion is. We will use tweepy for fetching tweets and textblob for natural language processing (nlp) Text Based Tutorial http://www.letscodepro.com/Twitter-Sentiment-Analysis/ Github link for project https://github.com/the-javapocalypse/Twitter-Sentiment-Analysis Further Reading Material http://docs.tweepy.org/en/v3.5.0/api.html http://textblob.readthedocs.io/en/dev/ Please Subscribe! And like. And comment. That's what keeps me going. Follow Me Facebook: https://www.facebook.com/javapocalypse Instagram: https://www.instagram.com/javapocalypse
Views: 35483 Javapocalypse
Day 29: Twitter API with Python
 
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Presenting you “Twitter API with Python”. Python is simple enough for beginners, powerful enough for the pros. Use it for IOT, Web Scraping, Big Data, and more. The goal is simple: learn Python by building real projects step-by-step while we explain every concept along the way. For the next 30 Days you're going to learn how to: • Scrape Data from nearly Any Website (including javascript-enabled sites) • Build your own Python applications for all types of automation • Send Emails & SMS text messages to your friends our your customers • Read & Write CSV, aka comma separated values, files to better store your data locally and work in popular programs like Microsoft Excel and Apple Numbers • Understand the basics behind the Python programming language so you're ready to build more advanced projects like Web Applications This course is there to teach you all these features step by step. Feel free to share this video. Check Out Our Channel: https://www.youtube.com/channel/UCBwpMr85NLRe4RmfE6jTRnw/ Subscribe To My Channel and Get More Exclusive Tips: https://www.youtube.com/channel/UCBwpMr85NLRe4RmfE6jTRnw?sub_confirmation=1 Check out our related videos: Day 1: Python Basics - Strings Variables and Integers in Python Programming: https://youtu.be/HEuyXkc8mOs Day 2: Lists, Dictionaries & Tuples in Python Programming: https://youtu.be/gGxOJRdPxpo Day 2: More Details on Dictionaries in Python Programming: https://youtu.be/_6frOPx4lEA Day 3: Loops - For Loops and While Loops in Python Programming: https://youtu.be/mytTczyWuKg Day 4: Conditionals in Python Programming: https://youtu.be/f5saYBYOAGg Day 4: Using Conditional Expressions in Python Programming: https://youtu.be/hGB0t_sySH0 Day 5: Functions in Python Programming - Part 1: https://youtu.be/yZTbWGwqRNM Day 5: Functions in Python Programming - Part 2: https://youtu.be/GAD1y8uFv18 Day 6: String Substitution in Python Programming: https://youtu.be/qDRuBTw60Mw Day 6: String Formatting and Substitutions All Together in Python Programming: https://youtu.be/AZea1StgoJY Day 7: Classes in Python Programming - Part 1: https://youtu.be/_5j0aG9Dpmw Day 8: Classes in Python Programming - Part 2: https://youtu.be/tgc6Fwmrj5s Day 9: Classes in Python Programming - Part 3: https://youtu.be/FOJ4ale_9BY Day 9: Classes in Python Programming - Part 4: https://youtu.be/nOXoucNuIxQ Day 10: Setup Python to send Email with Gmail: https://youtu.be/IYhKdvfPas0 Day 11: HTML and Plain Text Emails through Python and Gmail: https://youtu.be/I0eQA9Pb4tU Day 12: Send Formatted Emails to a Set of Users in Python Programming: https://youtu.be/X0ci0r0iLiQ Day 13: Using External Template Files with Context Data in Python Programming: https://youtu.be/6diiOTQ970M Day 14: CSV Files with Python - Read, Write & Append: https://youtu.be/0Vl0iwkXrQ8 Day 15: Functions to Dynamically Add Data to CSV with Python: https://youtu.be/bgVGJRiAcy0 Day 16: Edit CSV with Python - Part 1: https://youtu.be/Xf-WAYytfKo Day 16: Edit CSV with Python - Part 2: https://youtu.be/pOJ1KNTlpzE Day 17: Read Data Function for CSV File in Python Programming: https://youtu.be/VD41zBbzSfA Day 18: Running Python Commands & Arguments in Terminal: https://youtu.be/8gHsoKKlK4Y Day 19: Integrating - Part 1: https://youtu.be/o6KzrntU1L4 Day 20: Integrating - Part 2: https://youtu.be/_gNuaiaVHlk Day 21: Web Scraping with Python 3 Python Requests & BeautifulSoup: https://youtu.be/-y6eLGtaBZk Day 22: Web Scraping in Python Programming - Part 2: https://youtu.be/Jwul8lrFtIU Day 23: Web Scraping in Python Programming - Part 3: https://youtu.be/XmbqjiHxHso Day 24: Web Scraping in Python Programming - Part 4: https://youtu.be/XIFQKMg_FT0 Day 25: Web Scraping on Javascript Driven HTML using Python - Part 1: https://youtu.be/vcnomT0CP0Y Day 25: Web Scraping on Javascript Driven HTML using Python - Part 2: https://youtu.be/-yVNqaxejVg Day 26: Get Data with an API in Python Programming - Part -1: https://youtu.be/Adh96nNrjAM Day 26: Get Data with an API in Python Programming - Part -2: https://youtu.be/sRcFNhX2qlU Day 27: Sending SMS Messages with Python & Twilio - Part 1: https://youtu.be/8PYyHnD0djI Day 27: Sending SMS Messages with Python & Twilio - Part 2: https://youtu.be/c8cRuJm-r44 Day 28: Twilio Python Client & SMS: https://youtu.be/jADGlJliapU Day 29: Twitter API with Python: https://youtu.be/dQG4mkD5Nd4 Day 30: Login with IMAP in Python Programming: https://youtu.be/Gql_NQv3ND4 Day 30: Fetch & Convert Email in Python Programming: https://youtu.be/bbPwv0TP2UQ Day 30: Save Emails Locally in Python Programming: https://youtu.be/Jt8LizzxkPU Check out our Social Media: Google + : http://bit.ly/2NxLHUi Facebook: http://bit.ly/2x2gLlq Copyright© Python Codex.
Views: 12251 Python Codex
Twitter API - Data Mining #3
 
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Using Tweepy to search for tweets and process them. We also cover Cursor object for iteration which helps in retrieving large amount of data from Twitter. GitHub/NBViewer Link: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/3.%20Twitter%20API.ipynb
Views: 17994 Roshan
How To Program With Twitter Search API
 
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Using python, this tutorial shows you how to make Twitter API calls and manipulate results to get tweets mentioning certain keywords New version: https://www.youtube.com/watch?v=Hr19uEOQL-U http://simpledeveloper.com/
Views: 19019 simpledeveloper
HowToDataScience : Scraping Twitter Data
 
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Link To Code: https://github.com/ritvikmath/ScrapingData/blob/master/Scraping%20Twitter%20Data.ipynb Create New Twitter App: https://apps.twitter.com/app/new Download Anaconda: https://www.anaconda.com/download/ Twitter Operators: https://developer.twitter.com/en/docs/tweets/rules-and-filtering/overview/standard-operators.html Tweepy Documentation: http://docs.tweepy.org/en/v3.5.0/
Views: 4450 ritvikmath
Twitter Streaming API - Data Mining #6
 
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Data Mining twitter streaming API using tweepy. Jupyter Notebook: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/6.%20Twitter%20Streaming%20API.ipynb
Views: 11574 Roshan
Example talk: Tracking hashtags in Twitter using Python
 
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Example 10-minute talk about a Python/Twitter project I did recently. See more at http://physicstodata.blogspot.com/2015/07/10-tips-for-10-minute-presentations.html
Views: 1286 Brad Deutsch
TWITTER TWEEPY API || SEARCH ANY TWEET WITHOUT MUCH CODING
 
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The following video explains how to use tweepy api of twitter to find any tweet with a specific keyword. You can include the tweepy api in any website or application that you are making. NOT MUCH OF CODING JUST SIMPLE STEPS( COPY PASTE). Link of the steps : https://www.digitalocean.com/community/tutorials/how-to-authenticate-a-python-application-with-twitter-using-tweepy-on-ubuntu-14-04 Link to the code : http://pastebin.com/9rC7UrVn please do subscribe for more videos.
Views: 3933 Breaking Code
Twitter API with Python: Part 3 -- Analyzing Tweet Data
 
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In this video, we will continue with our use of the Tweepy Python module and the code that we wrote. The goal of this video will be to do some very cursory analysis on the tweets that we are able to extract. In order to do so, we will be making use of the numpy and pandas modules in Python. Specifically, we will be storing the tweet data in a pandas data frame for further analysis and organization. Relevant Links: Part 1: https://www.youtube.com/watch?v=wlnx-7cm4Gg Part 2: https://www.youtube.com/watch?v=rhBZqEWsZU4 Part 3: https://www.youtube.com/watch?v=WX0MDddgpA4 Part 4: https://www.youtube.com/watch?v=w9tAoscq3C4 Part 5: https://www.youtube.com/watch?v=pdnTPUFF4gA Tweepy Website: http://www.tweepy.org/ Cursor Docs: http://docs.tweepy.org/en/v3.5.0/cursor_tutorial.html API Reference: http://docs.tweepy.org/en/v3.5.0/api.html GitHub Code for this Video: https://github.com/vprusso/youtube_tutorials/tree/master/twitter_python/part_3_analyzing_tweet_data My Website: vprusso.github.io Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe
Views: 8971 LucidProgramming
Automate Social - Grab Social Data with Python - Part 1
 
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Coding with Python - Automate Social - Grab Social Data with Python - Part 1 Coding for Python is a series of videos designed to help you better understand how to use python. In this video we discover a API that will help us grab social data (twitter, facebook, linkedin) using just a person's email address. API - FullContact.com Django is awesome and very simple to get started. Step-by-step tutorials are to help you understand the workflow, get you started doing something real, then it is our goal to have you asking questions... "Why did I do X?" or "How would I do Y?" These are questions you wouldn't know to ask otherwise. Questions, after all, lead to answers. View all my videos: http://bit.ly/1a4Ienh Get Free Stuff with our Newsletter: http://eepurl.com/NmMcr The Coding For Entrepreneurs newsletter and get free deals on premium Django tutorial classes, coding for entrepreneurs courses, web hosting, marketing, and more. Oh yeah, it's free: A few ways to learn: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (40k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 48141 CodingEntrepreneurs
Twitter Streaming API in Python. Data mining Demonstration
 
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I have made some web scrappers before. You can check it out here: - https://www.youtube.com/watch?v=-vYiAfLDEVw - https://www.youtube.com/watch?v=oQkIp1Bk_vg - https://www.youtube.com/watch?v=pqAdxZWFkTM and more. It was so easy and fun work by using Beautiful Soup and Selenium. This time I going to build a powerful Twitter scanner. Twitter provide three main APIs: the REST API, Streaming API, and the Ads API. I will use Twitter Streaming API for gathering all related by a keyword tweets in real time. Yes - in real time! First of all before all the work you must to create an application in your Twitter account. Then you will generate your Consumer ID, Secret keys, Token key and Token secret keys. You have to obtain credentials to be able to collect data from Twitter. Before coding I recommend install requests-oauthlib 0.8.0 module from here: https://pypi.python.org/pypi/requests-oauthlib to your default Python directory. Good is that my code will write the real time tweets to output csv file after each tweet is come to the pocket. Next step: implement sentimental analysis for tweets. Still searching for solutions. Vytautas Bielinskas LinkedIn: https://www.linkedin.com/in/bielinskas
Twitter Streaming API - Python & Code!
 
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CODE POSTED BELOW! Click "show more" Python 3.4 (probably compatible with other versions) Original Guide & extra Python program options (3rd party website): http://adilmoujahid.com/posts/2014/07/twitter-analytics/ Follow the Twitter API instructions on the guide above. This link will point you to where you'll need to set up a free Twitter account and get access to their free Twitter Python streaming API. https://dev.twitter.com/streaming/overview The Code! Be sure to change the "APIrelatedkeys" to your API keys from Twitter Streaming API: #Import the necessary methods from tweepy library from tweepy.streaming import StreamListener from tweepy import OAuthHandler from tweepy import Stream import json #Variables that contains the user credentials to access Twitter API access_token = "APIrelatedkeys" access_token_secret = "APIrelatedkeys" consumer_key = "APIrelatedkeys" consumer_secret = "APIrelatedkeys" #This is a basic listener that just prints received tweets to stdout. class StdOutListener(StreamListener): def on_data(self, data): decoded = json.loads(data) print (decoded['user']['screen_name'], decoded['text'].encode('ascii', 'ignore')) return True def on_error(self, status): print(status) if __name__ == '__main__': #This handles Twitter authetification and the connection to Twitter Streaming API l = StdOutListener() auth = OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) stream = Stream(auth, l) #This line filter Twitter Streams to capture data by the keyword: 'python' stream.filter(track=['python'])
Views: 3853 Flavor Of The Month
15.4: Twitter API Basics - Twitter Bot Tutorial
 
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This video covers the basics of the twitter API. What are the basic commands -- get, post, stream? How do you search twitter? How do you post a tweet? How do you trigger a function callback when a twitter event occurs? All examples: https://github.com/shiffman/Video-Lesson-Materials Twit package: https://github.com/ttezel/twit Twitter API documentation: https://dev.twitter.com/ Contact: https://twitter.com/shiffman Next video: https://youtu.be/ZvsqQjwrISQ Learn JavaScript basics: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA Learn Processing basics: https://www.youtube.com/user/shiffman/playlists?sort=dd&shelf_id=2&view=50 More about data and APIs: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6a-SQiI4RtIwuOrLJGnel0r Help us caption & translate this video! http://amara.org/v/Qbtp/
Views: 138504 The Coding Train
CARA MENGAMBIL DATA TWEET  MENGGUNAKAN PYTHON
 
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Tutorial mengambil data tweet menggunakan python
Views: 783 M. Rijal
04 - Get replies from a given Tweet with the Twitter search API
 
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This video is part of the "Thread Reader use case: From idea to launch (1/2)" blog post found here: https://jerome.gangneux.net/blog/2017/09/12/thread-reader-from-idea-to-launch.html We are going to get the replies to a specific tweet with the Twitter search API. Unfortunately Twitter does not offer a "reply" API endpoint so search is the only way to get replies for a given Tweet.
Views: 2163 Jerôme Gangneux
Mining tweet using Python in Hindi
 
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How to mine tweets using simple python script. Applications of twitter data mining like sentiment analysis for branding, advertisement, politics etc.
Views: 1252 HindiSiksha
Extract Tweets from Twitter Search Webpage
 
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Using Beautiful Soup to extract Twitter data from Twitter Search webpage results. The extracting data is then saved into Access tables. Python Code: https://github.com/xbwei/Data-Mining-on-Social-Media/blob/master/Access/Extract_Twitter_Search_Page.py SQL Code: https://github.com/xbwei/Data-Mining-on-Social-Media/blob/master/Access/Create_Table.sql Twitter Search Website: https://twitter.com/search-home
Views: 572 Xuebin Wei
How to  get tweets from a  specific location
 
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how to get tweets from a specific location Code: [[ geocode:latitude,longitude,radius ]]
Views: 3358 KaliTut
How to use the Twitter API v1.1 with Python to stream tweets
 
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Part 1: http://youtu.be/pUUxmvvl2FE Part 2: http://youtu.be/d-Et9uD463A Part 3: http://youtu.be/AtqqVXZ365g In this video, you are shown how to use Twitter's API v1.1 to stream tweets using Python. Twitter's on-site documentation for their API is massive, but I found it to be a bit overboard for the simple task I wanted to achieve. If you have been having trouble figuring out how to stream twitter in python, this should help you. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex Example code: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/how-to-use-the-twitter-api-1-1-to-stream-tweets-in-python/
Views: 156454 sentdex
Getting Tweets, Trends, and User Timeline from Twitter using R
 
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Includes working with r for, - getting tweets from twitter - saving data in a csv file - getting worldwide and local twitter trends - getting user timeline Machine Learning videos: https://goo.gl/WHHqWP R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 24067 Bharatendra Rai
Post to Twitter Using Python
 
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Quick demo showing you how to post to twitter using a python script. There is a typo in the script in the demo. consume_secret variable should be consumer_secret. from twitter import * access_token = access_token_secret = consumer_key = consumer_secret = t = Twitter(auth=OAuth(access_token, access_token_secret, consumer_key, consumer_secret)) t.statuses.update(status="Posting to twitter from Python. #python")
Views: 6881 Joe Story
Google Search - Data Mining #4
 
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Searching the Internet using Google custom search API. Starting by setting up a Google Custom Search to search the entire web. Then setting up Custom Search API to access the search service in a with in your code. GitHub/NBViewer Link: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/4.%20Google%20Custom%20Search.ipynb Other important Links: Google Custom Search: https://www.google.com/cse/ Google Developer Console: https://console.developers.google.com/ Custom Search Documentation: https://developers.google.com/custom-search/json-api/v1/reference/cse/list
Views: 10969 Roshan
Download Twitter hashtags or search as CSV
 
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Usings Tags explorer by the brilliant Martin Hawksey. Very quick run through to help some people who asked: Get Tags: https://tags.hawksey.info/get-tags/
Views: 3511 David Sherlock
Twitter API with Python: Part 2 -- Cursor and Pagination
 
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In this video, we will continue with our use of the Tweepy Python module and the code that we wrote from Part 1 of this series: https://www.youtube.com/watch?v=wlnx-7cm4Gg The goal of this video will be to understand how Tweepy handles pagination, that is, how can we use Tweepy to comb over the various pages of tweets? We will see how to accomplish this by making use of Tweepy's Cursor module. In doing so, we will be able to directly access tweets, followers, and other information directly from our own timeline. We will also continue to improve the code that we wrote from Part 1 Relevant Links: Part 1: https://www.youtube.com/watch?v=wlnx-7cm4Gg Part 2: https://www.youtube.com/watch?v=rhBZqEWsZU4 Part 3: https://www.youtube.com/watch?v=WX0MDddgpA4 Part 4: https://www.youtube.com/watch?v=w9tAoscq3C4 Part 5: https://www.youtube.com/watch?v=pdnTPUFF4gA Tweepy Website: http://www.tweepy.org/ Cursor Docs: http://docs.tweepy.org/en/v3.5.0/cursor_tutorial.html API Reference: http://docs.tweepy.org/en/v3.5.0/api.html GitHub Code for this Video: https://github.com/vprusso/youtube_tutorials/tree/master/twitter_python/part_2_cursor_and_pagination My Website: vprusso.github.io This video is brought to you by DevMountain, a coding boot camp that offers in-person and online courses in a variety of subjects including web development, iOS development, user experience design, software quality assurance, and salesforce development. DevMountain also includes housing for full-time students. For more information: https://devmountain.com/?utm_source=Lucid%20Programming Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe
Views: 13653 LucidProgramming
How to user the Twitter API in python
 
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A tutorial on using the twitter api in python: Code: from twitter import * from tkinter import * def showTweets(x, num): # display a number of new tweets and usernames for i in range(0, num): line1 = (x[i]['user']['screen_name']) line2 = (x[i]['text']) w = Label(master, text=line1 + "\n" + line2 + "\n\n") w.pack() def getTweets(): x = t.statuses.home_timeline(screen_name="putscreennamehere") return x def tweet(): global entryWidget if entryWidget.get().strip() == "": print("Empty") else: t.statuses.update(status=entryWidget.get().strip()) entryWidget.delete(0,END) print("working") # Put in token, token_key, con_secret, con_secret_key t = Twitter( auth=OAuth('', '', '', '')) numberOfTweets = 10 master = Tk() showTweets(getTweets(), numberOfTweets) master.title("Tkinter Entry Widget") master["padx"] = 40 master["pady"] = 20 # Create a text frame to hold the text Label and the Entry widget textFrame = Frame(master) #Create a Label in textFrame entryLabel = Label(textFrame) entryLabel["text"] = "Make a new Tweet:" entryLabel.pack(side=LEFT) # Create an Entry Widget in textFrame entryWidget = Entry(textFrame) entryWidget["width"] = 50 entryWidget.pack(side=LEFT) textFrame.pack() button = Button(master, text="Submit", command=tweet) button.pack() master.mainloop() more info in twitter API: https://pypi.python.org/pypi/twitter
Views: 23678 MineIsPolo
Using Twitter API: Pull User's Tweets | Python 3.6
 
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This video educates you on how to pull tweets from Twitter via the Twitter API using the Tweepy python module. More notably it will show you how to retrieve tweets by userName. [Video 1] Build Twitter App: https://youtu.be/56EAU6liJmA SQLite Browser http://sqlitebrowser.org/ Tweepy API http://docs.tweepy.org/en/v3.4.0/streaming_how_to.html SQLite3 https://www.sqlite.org/download.html
Views: 537 ProfessorPitch
Opinion Mining (Twitter) Tutorial | Python
 
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Sentiment Analysis Python. What is the Sentiment Analysis? https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/ Github: https://github.com/beingmartinbmc/Opinion-Mining-Twitter-/tree/master
Views: 502 Ankit Sharma
Collecting and analyzing twitter data with MySQL and Python
 
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A walk through a basic program to run a twitter search and feed the results (both raw JSON and normalized data) into a MySQL database. This example will showcase the abilities of the Python connector, the JSON data type and the options for querying and extracting the data collected.
Views: 581 Imran Amanat
Mining Twitter with Python : 4 - Using the Twitter Streaming API
 
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The Streaming API is one of the favorite ways of getting a massive amount of data without exceeding the rate limits. Lets see how this differs from REST API and the Search API. ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 1745 Sukhvinder Singh
Use Tableau to Analyze Twitter Data - #HAPPY
 
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Tutorial on using Tableau's web data connector to connect to Twitter. I am using Tableau version 10 for this walkthrough. 1. We go to connect, select More on Server, and select Web Data Connector 2. Enter the URL of the Twitter Web Data Connector and your desired search term – If you would like to build your own Twitter web data connector you can use instructions listed on TableauJunkie’s post – http://tableaujunkie.com/post/119681578798/creating-a-twitter-web-data-connector 3. Now let’s search for the word #happy just as an example 4. Hit “Update Now” 5. We can see that we were able to get several data columns into our view – we have a. The open text – or status text b. # of times it was retweeted c. User names, locations, d. And the date that it was tweeted 6. Alright, now let’s go ahead and take a look at the data a. Let’s place user status count, and time zone country into the view and create a map view to see where @happy was tweeted b. Let’s put time zone country on label and create a filled map c. It looks like the United States is the “happiest country” according to our simple analysis d. Now let’s create a continuous area chart that will show the number of tweets as of created time – with the level of detail on minutes this is showing us how many tweets used #happy in the past few minutes e. We can turn on the labels and user time zone country add to color
Views: 6109 Story by Data
Playing with the Twitter API using Python
 
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https://github.com/benhoff/twitter
Views: 6675 Ben Hoff
Mining data on Facebook with Python: 1- Setting up our app for mining data on Facebook
 
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In this tutorial we will set up our app to mine data from Facebook. We will be introduces to the Facebook API Graph and setting up user token access. Let's connect out app to communicate with the Graph API to get started mining data on this huge platform. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 18751 Sukhvinder Singh
Twitter API With Python & Tweepy | Data Scraping To Gain More Twitter Followers Fast!
 
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"Twitter API With Python" In this video we'll teach you how to get more Twitter followers using the Twitter API and Python. We will be data scrapping and mining with Tweepy, and create a script that allows us to generate a list of users that like a certain topic. Guest Instructor, Chris: https://www.linkedin.com/in/cfischercs/ Tweepy Documentation: http://docs.tweepy.org/en/v3.5.0/ Twitter Developer: https://developer.twitter.com/
Views: 1236 Don Sirivat
Twitter live sentiment Analysis Tutorial in Python - Tweepy and TextBlob
 
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Twitter live Sentiment Analysis helps us map the positive and the negative sentiments of tweets in real time. In this video we take the examples of Donald Trump tweets, what people are tweeting about him and plot the sentiment for it. We have to clean the data using some techniques and encoding. The same approach can be followed with any live event like elections, a football match and even stock market to track live sentiment and analyse the relation between price raise and fall. This tutorial uses Tweepy (pip install tweepy), Text Blob , Matplotlib libraries available with the Anaconda Package. For the code: Github : https://github.com/shreyans29/thesemicolon Facebook : https://www.facebook.com/thesemicolon.code/ Support us on Patreon : https://www.patreon.com/thesemicolon Twitter Developer : https://dev.twitter.com/ Tweepy Documentation : http://docs.tweepy.org/en/v3.5.0/
Views: 16622 The Semicolon
Twitter API with Python: Part 4 -- Visualizing Tweet Data
 
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In this video, we will continue with our use of the Tweepy Python module and the code that we wrote. We will be doing some basic analysis of the data we've stored into the pandas data frame. Specifically, we will be plotting time series plots based on the number of "likes" and "retweets" from a specified Twitter user. Relevant Links: Part 1: https://www.youtube.com/watch?v=wlnx-7cm4Gg Part 2: https://www.youtube.com/watch?v=rhBZqEWsZU4 Part 3: https://www.youtube.com/watch?v=WX0MDddgpA4 Part 4: https://www.youtube.com/watch?v=w9tAoscq3C4 Part 5: https://www.youtube.com/watch?v=pdnTPUFF4gA Tweepy Website: http://www.tweepy.org/ Cursor Docs: http://docs.tweepy.org/en/v3.5.0/cursor_tutorial.html API Reference: http://docs.tweepy.org/en/v3.5.0/api.html GitHub Code for this Video: https://github.com/vprusso/youtube_tutorials/tree/master/twitter_python/part_4_visualizing_tweet_data My Website: vprusso.github.io Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe
Views: 5806 LucidProgramming
Saving Tweets: How to use the Twitter API v1.1 with Python to stream tweets
 
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Part 1: http://youtu.be/pUUxmvvl2FE Part 2: http://youtu.be/d-Et9uD463A Part 3: http://youtu.be/AtqqVXZ365g Sample code for this video: http://pythonprogramming.net/use-twitter-api-v1-1-python-stream-tweets/ This video builds on the previous video, showing you how to save the tweets and twitter information from the streaming API v1.1 http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/how-to-use-the-twitter-api-1-1-to-stream-tweets-in-python/
Views: 45129 sentdex
Text Mining using RapidMiner (Twitter data)
 
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Text Mining using RapidMiner Objective : 1. To determine the type of Document (Positive or Negative) in English Language 2. Analysis the data from Twitter
Views: 5555 Kanda
Python Programming - Creating A Twitter Retweet Bot w/ Tweepy
 
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Welcome to Part 12 of the Python Programming tutorial series here on Tutorial Spot. In Part 12 I took inspiration from an article I saw online showing how a programmer had managed to win quite a few competitions using a Python script to automatically enter him into competitions on Twitter. I took the premise that we access the API from Twitter and simply search for tweets containing a certain keyword and then retweet the tweets found to contain that very keyword, or keywords! You will need to create a Twitter App and install Tweepy before using the code. Tweepy: https://github.com/tweepy/tweepy Twitter App Page: apps.twitter.com Code uploaded to PasteBin: https://pastebin.com/4yYJdVrn Python 3.6.4 was used to make this tutorial. Twitter: @TutorialSpotUK
Views: 2948 Tutorial Spot
Mining tweet using Python in Hindi
 
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How to mine tweets using simple python script. Applications of twitter data mining like sentiment analysis for branding, advertisement, politics etc. Part 1: Part 2: Part 3: In this video, you are shown how to use Twitters API v1.1 to stream tweets using. In order to interact with the Twitter APIs, we need a Python client that implements the different calls to the APIs itself. We will use Tweepy in these tutorials and see how to build our.
Views: 71 gyve jape
K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka
 
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** Python Training for Data Science: https://www.edureka.co/python ** This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) series presents another video on "K-Means Clustering Algorithm". Within the video you will learn the concepts of K-Means clustering and its implementation using python. Below are the topics covered in today's session: 1. What is Clustering? 2. Types of Clustering 3. What is K-Means Clustering? 4. How does a K-Means Algorithm works? 5. K-Means Clustering Using Python Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm Subscribe to our channel to get video updates. Hit the subscribe button above. How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Programmatically download and analyze data 2. Learn techniques to deal with different types of data – ordinal, categorical, encoding 3. Learn data visualization 4. Using I python notebooks, master the art of presenting step by step data analysis 5. Gain insight into the 'Roles' played by a Machine Learning Engineer 6. Describe Machine Learning 7. Work with real-time data 8. Learn tools and techniques for predictive modeling 9. Discuss Machine Learning algorithms and their implementation 10. Validate Machine Learning algorithms 11. Explain Time Series and its related concepts 12. Perform Text Mining and Sentimental analysis 13. Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."
Views: 47581 edureka!
Twitter API Tutorial For Beginners (Python)
 
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Submit a topic for the next tutorial: https://goo.gl/forms/MGFJoQ1d8xipeHbI3 Learn about APIs: https://www.youtube.com/watch?v=1DnD0BhSoRA&t=45s Get access to more at www.theforge.ca !
Views: 279 Anthony Sistilli
Cleaning up Tweets: How to use the Twitter API v1.1 with Python to stream tweets
 
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Part 1: http://youtu.be/pUUxmvvl2FE Part 2: http://youtu.be/d-Et9uD463A Part 3: http://youtu.be/AtqqVXZ365g This is the 3rd video in the Twitter streaming tweets mini-series, showing you how to split up the tweet data and save only what you want. Example Code: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/how-to-use-the-twitter-api-1-1-to-stream-tweets-in-python/
Views: 35363 sentdex