Student Work

An Approach To Textual Analysis For Stocks

公开

可下载的内容

open in viewer

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.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Publisher
Identifier
  • E-project-052820-145247
关键词
Advisor
Year
  • 2020
Date created
  • 2020-05-28
Resource type
Rights statement

关系

属于 Collection:

项目

单件

Permanent link to this page: https://digital.wpi.edu/show/6w924f34d