Realtime-Twitter-Sentiment-Analysis

This project uses:

• Tweepy
• VaderSentiment
• Wordcloud
• Streamlit

This project has been launched! You can see it run here.

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About the project

• Streaming tweets in real time using tweepy.
• Sentiment analysis with VADER approach Python implementation. All tweets being classified in three classes: Positive, Negative and Neutral. For more details about VADER you can find its research paper here.
• Making app using streamlit.

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Have a look at demo video!

Realtime.Twitter.Analysis.mp4

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Future Scope

• Add option to filter tweet text on basis of words found in negative wordcloud.