Comparing Traditional NLP to ChatGPT for Sentiment Analysis and Investment
Program: Data Science Master's Degree
Location: Not Specified (remote)
Student: Nathan Bentley
This project compared a popular traditional NLP technique used in the quantitative investment industry to ChatGPT for sentiment analysis and investment. Specifically, the objective was to compare a recurrent neural network to ChatGPT to determine which model could generate the highest hypothetical trading profits.