Geoff G. Parker
The 390 project primarily focuses on event-based sentiment analysis to create new indicators based on social media and financial news, etc. using NLP (natural language processing) techniques. In addition to quantitative data available such as pricing, volumes, and returns, the project is attempting to quantify vast amount of textual information such as SEC filings, social media posts and financial news of companies to generate informative indicators.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Shen, Yuqi, "Event-based Sentiment Analysis of Trader Mood" (2019). ENGG 390 Reports (MEM Students). 54.
Available for download on Wednesday, September 15, 2021
Available to Dartmouth community via local IP address.