twitter-sentiment-analysis and CS291K
About twitter-sentiment-analysis
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
This project helps social media analysts, marketers, or researchers understand public opinion by analyzing Twitter data. You provide a CSV file of tweets, some labeled as positive or negative, and it outputs predictions of sentiment for new, unlabeled tweets. It helps you quickly gauge sentiment trends without manual review.
About CS291K
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.
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