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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (8): 85-91    DOI: 10.11925/infotech.2096-3467.2017.08.10
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Analyzing Textual Sentiment Based on HNC Theory
Gao Ge, Luo Junmei, Wang Yu()
Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
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Abstract  

[Objective] This sutdy proposes a new method to conduct sentiment analysis with comment texts, aiming to deal with the issues facing new online terms. [Methods] Based on the Hierarchical Network of Concepts (HNC) theory, we defined symbols for the new words, which could be processed more efficiently. [Results] The proposed method analyzed the sentiment of the textual message effectively. [Limitations] Our method could only process short texts, while we still need to manually create symbols for the new words. [Conclusions] We proposed an effective way to conduct sentiment analysis.

Key wordsComment Text      Sentiment Analysis      Hierarchical Network of Concepts (HNC)     
Received: 27 May 2017      Published: 28 September 2017
ZTFLH:  TP391  

Cite this article:

Gao Ge,Luo Junmei,Wang Yu. Analyzing Textual Sentiment Based on HNC Theory. Data Analysis and Knowledge Discovery, 2017, 1(8): 85-91.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.08.10     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I8/85

概念节点 HNC符号 权值
极、最 j60d01、j60c44 1.5
j60c43 1.3
稍微 j60c41 1.1
适度 j60c42、j60e41 1
不够 j60e42 0.8
过分 j60e43 -0.5
否定 ! -1
情感词 基础
情感值
情感词 基础
情感值
情感词 基础
情感值
0 精细 1 热情 1
1 厉害 1 神速 1
不错 1 流畅 1 完美 1
0 -1 迅速 1
方便 1 耐心 1 正常 1
1 耐用 1 及时 1
合适 1 清晰 1 简陋 -1
划算 1 结实 1
程度副词 有些 相当 特别 非常 比较
变动权值 1.1 1.3 1.3 1.3 1.5 1.3 1 1.3 1
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