Book chapter
Modeling Text Sentiment: Learning and Lexicon Models
Practical Text Analytics, pp 151-164
20 Oct 2018
Abstract
This chapter presents two types of sentiment analysis: lexicon-based and learning-based. Both methods aim to extract the overall feeling or opinion from text. Each approach is described with an example, and then the difficulties of sentiment analysis are discussed.
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Details
- Title
- Modeling Text Sentiment: Learning and Lexicon Models
- Creators
- Murugan Anandarajan - Drexel UniversityChelsey Hill - Montclair State UniversityThomas Nolan - Mercury Systems (United States)
- Publication Details
- Practical Text Analytics, pp 151-164
- Series
- Advances in Analytics and Data Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems); Bennett S. LeBow College of Business; Television (and Media) Management; Drexel University
- Other Identifier
- 991019551685304721