TextJSM: Text Sentiment Analysis Method
- 作者: Kotelnikov E.V.1
-
隶属关系:
- Vyatka State University
- 期: 卷 52, 编号 1 (2018)
- 页面: 24-34
- 栏目: Information Analysis
- URL: https://journals.rcsi.science/0005-1055/article/view/150202
- DOI: https://doi.org/10.3103/S0005105518010089
- ID: 150202
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详细
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.
作者简介
E. Kotelnikov
Vyatka State University
编辑信件的主要联系方式.
Email: kotelnikov.ev@gmail.com
俄罗斯联邦, Kirov, 610000
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