Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline
1.) Extracts all tweets from the timeline corresponding to the inputted twitter handle
2.) Uses Google's T5-Transformer to summarize all articles referenced in those tweets
3.) Conducts preliminary semantic analysis on the title of the article.
4.) Displays article details, summary, title sentiment and generates a word cloud based on article content
Sample Output:
Twitter COVID-19 Sentiment Analysis Members: Christopher Bach | Khalid Hamid Fallous | Jay Hirpara | Jing Tang | Graham Thomas | David Wetherhold Pro
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