Title
Predicting the Stock Market Using Sentiment Analysis of Social Media
Files
Description
Brendon Kendall, Robert DiBenedetto, AMT495: Applied Mathematics Project
Faculty Mentor(s): Professor Joaquin Carbonara, Mathematics
In this project, we gather tweets and other social media comments that mention publicly traded companies. Then we quantify the positive or negative sentiment of each comment using Artificial Intelligence (AI) tools. This AI field of study is usually referred to as Natural Language Processing (NLP). In order to obtain these comments, API accounts were created from Twitter and other companies. The quantified sentiments of the comments will be compared with stock values to determine correlation and other statistical properties. Visualization of the data will be used to further derive properties. News stories like the controversy over GameStop's stock market saga will be explained in the context of our statistical research.
Publication Date
2021
Recommended Citation
Kendall, Brendon and DiBenedetto, Robert, "Predicting the Stock Market Using Sentiment Analysis of Social Media" (2021). Mathematics. 4.
https://digitalcommons.buffalostate.edu/srcc-sp21-math/4
