xiangzhemeng/Kaggle-Twitter-Sentiment-Analysis
Kaggle Twitter Sentiment Analysis Competition
This project helps social media analysts, brand managers, and market researchers automatically understand public opinion by analyzing Twitter data. It takes raw tweets as input and categorizes them as either positive or negative, providing a clear sentiment label for each. This allows users to quickly gauge sentiment on specific topics, products, or events without manual review.
No commits in the last 6 months.
Use this if you need to classify large volumes of tweets to determine whether the sentiment expressed is positive or negative.
Not ideal if you need to analyze sentiment in languages other than English or require more nuanced sentiment categories beyond just positive and negative.
Stars
17
Forks
6
Language
Python
License
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Category
Last pushed
Jan 25, 2018
Commits (30d)
0
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