pmsosa/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
This helps you analyze the emotional tone of Twitter data, specifically identifying if tweets are positive, negative, or neutral. You feed in raw Twitter text, and it categorizes the sentiment of each tweet. This tool is for researchers or data analysts interested in understanding public opinion or specific sentiment trends on social media.
311 stars. No commits in the last 6 months.
Use this if you need to automatically classify the sentiment of a collection of tweets to understand public mood or reaction to a topic.
Not ideal if you need to analyze sentiment from platforms other than Twitter or require highly nuanced, context-aware sentiment understanding beyond basic positive/negative/neutral.
Stars
311
Forks
100
Language
Python
License
—
Category
Last pushed
Feb 25, 2018
Commits (30d)
0
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