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

Learn More →

Prominent Feature Extraction for Sentiment AnalysisIntroduction

Prominent Feature Extraction for Sentiment Analysis: Introduction [The textual information available on the Web is of two types: facts and opinions statements. Facts are objective sentences about the entities and do not show any sentiments. Opinions are subjective in nature and generally describe the people’s sentiments towards entities and events. Most of the existing research with the available online text has been emphasized on the factual data in various natural language processing (NLP) tasks, e.g., inform retrieval [69], text classification [41], etc. Research on processing the opinionated sentences is still very limited due to a large number of challenges involved in the field [20, 67].] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Prominent Feature Extraction for Sentiment AnalysisIntroduction

Download PDF
3 pages

Loading next page...
 
/lp/springer-journals/prominent-feature-extraction-for-sentiment-analysis-introduction-RRQiICXCv3
Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-25341-1
Pages
1 –4
DOI
10.1007/978-3-319-25343-5_1
Publisher site
See Chapter on Publisher Site

Abstract

[The textual information available on the Web is of two types: facts and opinions statements. Facts are objective sentences about the entities and do not show any sentiments. Opinions are subjective in nature and generally describe the people’s sentiments towards entities and events. Most of the existing research with the available online text has been emphasized on the factual data in various natural language processing (NLP) tasks, e.g., inform retrieval [69], text classification [41], etc. Research on processing the opinionated sentences is still very limited due to a large number of challenges involved in the field [20, 67].]

Published: Dec 15, 2015

Keywords: Opinion Mining; Sentiment Analysis; Negative Word; Feature Selection Technique; Machine Learning Model

There are no references for this article.