https://github.com/olahsymbo/sentiment-analysis-bert
BERT model based sentiment analysis of tweets
https://github.com/olahsymbo/sentiment-analysis-bert
bert keras python sentiment-analysis tfidfvectorizer tweets
Last synced: about 1 month ago
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BERT model based sentiment analysis of tweets
- Host: GitHub
- URL: https://github.com/olahsymbo/sentiment-analysis-bert
- Owner: olahsymbo
- Created: 2019-05-02T13:58:15.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-16T02:28:11.000Z (over 3 years ago)
- Last Synced: 2023-03-05T15:10:34.863Z (over 3 years ago)
- Topics: bert, keras, python, sentiment-analysis, tfidfvectorizer, tweets
- Language: Python
- Homepage:
- Size: 1.08 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 5
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Metadata Files:
- Readme: README.md
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README
## Sentiment_Analysis
Project on Sentiment Analysis of tweets. Tweets are classified into positive, negative, and neutral sentiments with Bayesian and Random Forest Classifier. TfidfVectorizer is used for encoding after tweet preprocessing and STOP WORDS extraction
### Guidelines
- Use the dataset in SentimentData.csv which contains Positive, Negative, and Neutral Tweets.
- Filter Tweets to remove @ # RT
- Use TfidfVectorizer to encode (extract features) the clean Tweets
- Predict using Naive Bayes Classifier or Random Forest.