acampillos/social-media-nlp
Sentiment analysis with pre-trained language models using TweetEval.
This project helps marketing and customer service professionals understand public perception of their brand or products by analyzing social media text. It takes raw social media posts, primarily tweets, and classifies the emotional tone as positive, negative, or neutral. The output provides actionable insights into customer sentiment, popular hashtags, and emerging trends to inform strategy.
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Use this if you need to evaluate and compare different text analysis models for understanding sentiment in social media data, particularly tweets.
Not ideal if you're looking for a ready-to-use application with a graphical interface for immediate sentiment analysis without coding.
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Jun 30, 2024
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