This project is developed for stock market news prediction using sentiment analysis, and it's a team project worked by a team of 4 members.
- Developed to use a model for sentiment prediction by looking for connections between words and marking them with positive or negative sentiments
- I was coding and making a presentation for review, and I was one of the speakers for the review presentation meeting.
- Python, Recurrent Neural Network (RNN), NLTK tool, VADER Lexicon, Sentiment Intensity Analyzer, require windows 7+, Presentation software- Google Colab & MS PowerPoint
- 4 members
- https://github.com/Deathshadow333/Stock-Sentiment-Analysis-Project.git and Prediction and quantification of future volatility and returns play an important role in financial modelling
- If you are deploying this code please use an Jupiter Note File/Google Colab File, this is the Final Code Demo
- G Sharan Raghav - https://github.com/Deathshadow999