Aashvi J. 2024 | BASIS Independent Silicon Valley
- Project Title: Can Sentiment Analysis Models Increase the Accuracy of Machine Learning Based Stock Forecasting?
- BASIS Independent Advisor: Swetha Bhattacharya
- Onsite Mentor: Jaya Jaware
In this project, I aim to determine if the tone of news articles heavily influences the trends of technology stock market prices. As the stock market changes everyday and is a national market, all data pertaining to it will be purely online. Therefore, I will utilize online datasets, such as NASDAQ and use websites such as Yahoo Finance to gain more information about the market. Additionally, since both my statistical models are online, I will conduct online research and read computer science websites, such as Kaggle and Stack Overflow, to learn how to create and modify my models. Since online news is more common than paper news, I will be using online news outlets, such as The Washington Post and The New York Times as the ones that I am analyzing. Finally, I aim to create a Powerpoint Presentation to present at the Senior Project Presentations as a final product, presenting my findings. If time permits, I want to consolidate my research in the form of a research paper and publish it, however, for now, my main goal is to make a presentation of my findings.