Book chapter
Learning-Based Sentiment Analysis Using RapidMiner
Practical Text Analytics, pp 243-261
20 Oct 2018
Abstract
This chapter provides a step-by-step sentiment analysis in RapidMiner using classification analysis. After being introduced to the RapidMiner software, the reader learns to build a process map-based analysis to classify Amazon reviews by sentiment. Two machine learning methods, k-nearest neighbor and naïve Bayes, are demonstrated and assessed for predictive performance.
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Details
- Title
- Learning-Based Sentiment Analysis Using RapidMiner
- Creators
- Murugan Anandarajan - Drexel UniversityChelsey Hill - Montclair State UniversityThomas Nolan - Mercury Systems (United States)
- Publication Details
- Practical Text Analytics, pp 243-261
- 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
- 991019551547104721