joshzwiebel/Tweet-Sentiment-Extraction
A repository detailing work involved in the kaggle competition Tweet Sentiment Extraction (Jupyter Notebook)
This project helps social media analysts and marketers pinpoint the exact words within a tweet that convey a specific sentiment. It takes raw tweet text and a general sentiment label (like 'positive' or 'negative') as input, and outputs the most relevant phrase or keywords that express that sentiment. Social media managers, brand strategists, and public relations professionals can use this to understand public perception more precisely.
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Use this if you need to extract the specific text snippets from tweets that indicate positive, negative, or neutral sentiment.
Not ideal if you are looking to generate new sentiment-aligned text or perform broad topic modeling beyond sentiment.
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Jupyter Notebook
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Last pushed
Dec 08, 2022
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