Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Practical Guide to Hybrid Natural Language ProcessingA Hybrid Approach to Disinformation Analysis

A Practical Guide to Hybrid Natural Language Processing: A Hybrid Approach to Disinformation... [Disinformation and fake news are complex and important problems where natural language processing can play an important role in helping people navigate online content. In this chapter, we provide various practical tutorials where we apply several of the hybrid NLP techniques involving neural models and knowledge graphs introduced in earlier chapters to build prototypes that solve some of the pressing issues posed by disinformation.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Practical Guide to Hybrid Natural Language ProcessingA Hybrid Approach to Disinformation Analysis

Loading next page...
 
/lp/springer-journals/a-practical-guide-to-hybrid-natural-language-processing-a-hybrid-X3A4mKmPb6

References (0)

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-44829-5
Pages
167 –206
DOI
10.1007/978-3-030-44830-1_10
Publisher site
See Chapter on Publisher Site

Abstract

[Disinformation and fake news are complex and important problems where natural language processing can play an important role in helping people navigate online content. In this chapter, we provide various practical tutorials where we apply several of the hybrid NLP techniques involving neural models and knowledge graphs introduced in earlier chapters to build prototypes that solve some of the pressing issues posed by disinformation.]

Published: Jun 17, 2020

There are no references for this article.