Tweets.json: The Tweets were Collected using ‘Twint’ through the command line. Command Used: twint -s "#INDvsAUSTest" -o tweets.json --hashtags --limit 20000 --json Contains twint tweet type objects Approximately 20K tweets were loaded into the file. Referenced Link: https://github.com/twintproject/twint/wikiUser.json: User data was collected using the tweepy API. Approximately 6k users’ data was loaded into the file Contains User tweepy objects Referenced Link: http://docs.tweepy.org/en/latest/MostLiked.json: Stores the information about the users of the top 10 most like tweets. Contains User tweepy objects
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Visualization_task2.ipynb: View the Graphs in Dash.pdf Code involves visualizing the data collected from tweets.json and user_data.json. Used the Plotly module along with Dash web application to make interactive visualizations. Referenced link : https://plotly.com/python/ -
User_data.ipynb: Code involves collecting user data using the tweepy API. Collected list of Users from tweets.json file and then called the api to get further information wrt each user. Referenced Link: http://docs.tweepy.org/en/latest/