Stock Sentiment Analysis Using News Headline(Overview)

• Created a tool using Natural Language Processing that Analyze Stocks from a Kaggle dataset with 85% accuracy.

• Completed some EDA process and Join the Headlines together.

• Implement Bag of Words for Model Implementation.

• Optimized Random Forest to build the best model.

Technology and tools wise this project covers:

1. Python
2. Numpy and Pandas for data cleaning
3. Natural Language Processing
4. Random Forest for model building
5. Jupyter notebook and Spyder as IDE

Sources

Dataset: https://www.kaggle.com/aaron7sun/stocknews

You can view on the details of this project here: https://www.youtube.com/user/krishnaik06