Faculty Advisor

Koutmos, Dimitrios

Abstract

Numerous scientific attempts have been made to predict the stock market but there has not been one method that accurately predicts stock price movement. A group of websites was chosen based on the Alexa site list for the investing sub-category located under the business category. A custom crawler was written for every site that is listed on the Alexa website. Weights were generated based on the information for total sites linking a website and a sentiment analysis was performed by an analyzer that is trained using social media and news data.

Publisher

Worcester Polytechnic Institute

Date Accepted

2020-05-28

Project Type

Interactive Qualifying Project

Accessibility

Unrestricted

Advisor Department

Business

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