Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news

Published 2013 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news
Authors
Keywords
-
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 41, Issue -, Pages 89-97
Publisher
Elsevier BV
Online
2013-01-11
DOI
10.1016/j.knosys.2013.01.001

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.