The project was built to help predict given tweets are positive or not.
- tweets_sentiment.csv: used to train the models. It includes 60,000 lines of annotated tweets.
- Twitter_sentiment.ipynb: is a jupyter notebook file including steps by steps of solving the problem.
The project was mainly following to instruction of: https://www.kaggle.com/code/stoicstatic/twitter-sentiment-analysis-for-beginners. Big thanks to Nikit and his clear explanation.