Email this article TextJSM: Text Sentiment Analysis Method
- Authors: Kotelnikov E.V.1
-
Affiliations:
- Vyatka State University
- Issue: Vol 52, No 1 (2018)
- Pages: 24-34
- Section: Information Analysis
- URL: https://journal-vniispk.ru/0005-1055/article/view/150202
- DOI: https://doi.org/10.3103/S0005105518010089
- ID: 150202
Cite item
Open Access
Access granted
Subscription Access
Abstract
The TextJSM method of text sentiment analysis is proposed, based on JSM method of automated hypothesis generation. Two versions of the TextJSM method are presented, that is, for solving predictive and descriptive problems. Parallel implementation of the main stages of both versions is considered. Experimental studies based on the ROMIP 2011–2012 seminar text corpora show the superiority of the developed method over other data mining methods.
Keywords
About the authors
E. V. Kotelnikov
Vyatka State University
Author for correspondence.
Email: kotelnikov.ev@gmail.com
Russian Federation, Kirov, 610000
Supplementary files
