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

Learn More →

Sentiment Analysis in the Bio-Medical DomainConclusion and Future Work

Sentiment Analysis in the Bio-Medical Domain: Conclusion and Future Work [The book gives an insight to Wordnet for Medical Events and applies commonsense computing and linguistic patterns to bridge the cognitive and affective gap between word-level medical data and the concept-level opinions conveyed by the medical contexts. This book introduces to a novel approach to decrease the gap between computational creativity and machine learning fields. This book also introduces to the microtext analysis which is an essential part for normalizing tweets and/or micro-blogs. This final section proposes a summary of contributions in terms of models, techniques and tools.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Sentiment Analysis in the Bio-Medical DomainConclusion and Future Work

Loading next page...
 
/lp/springer-journals/sentiment-analysis-in-the-bio-medical-domain-conclusion-and-future-Kj66a15ThL
Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017
ISBN
978-3-319-68467-3
Pages
127 –130
DOI
10.1007/978-3-319-68468-0_5
Publisher site
See Chapter on Publisher Site

Abstract

[The book gives an insight to Wordnet for Medical Events and applies commonsense computing and linguistic patterns to bridge the cognitive and affective gap between word-level medical data and the concept-level opinions conveyed by the medical contexts. This book introduces to a novel approach to decrease the gap between computational creativity and machine learning fields. This book also introduces to the microtext analysis which is an essential part for normalizing tweets and/or micro-blogs. This final section proposes a summary of contributions in terms of models, techniques and tools.]

Published: Jan 24, 2018

Keywords: Opinion mining; Sentiment analysis; Biomedical text mining; Natural language processing; Deep learning; Sentic computing; WME

There are no references for this article.