一种基于极性词典的情感分析方法

J4 ›› 2012, Vol. 47 ›› Issue (3): 47-50.

一种基于极性词典的情感分析方法

张成功^1,2,刘培玉^1,2*,朱振方^1,2,方明^1,2

1.山东师范大学信信息科学与工程学院, 山东济南 250014;
2.山东省分布式计算机软件新技术重点实验室, 山东济南 250014

收稿日期:2011-11-30 出版日期:2012-03-20 发布日期:2012-04-01
通讯作者: 刘培玉(1960- ),男,教授,博士生导师,主要研究方向计算机网络信息安全、网络系统规划、网络信息资源开发和软件开发技术. Email:liupy@sdnu.edu.cn
作者简介:张成功(1987- ),男,硕士研究生,主要研究信息过滤,情感分析等. Email:zcg870108@163.com
基金资助:
国家自然科学基金资助项目(60873247);山东省自然科学基金重点项目(ZR2009GZ007);山东省高新自主创新专项工程项目(2008ZZ28)

A sentiment analysis method based on a polarity lexicon

ZHANG Cheng-gong ^{1, 2}, LIU Pei-yu^{1, 2*,} ZHU Zhen-fang^1,2, FANG Ming^1,2

1. School of Information Science and Engineering, Shandong Normal University, Jinan 250014, Shandong, China;
2. Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology,
Jinan 250014, Shandong, China

Received:2011-11-30 Online:2012-03-20 Published:2012-04-01

摘要/Abstract

摘要：

极性词典是文本情感分析和倾向性分析的基础。本文构建了一个全面、高效的极性词典,包括基础词典、领域词典、网络词词典以及修饰词词典,深入研究了修饰词对极性词的影响,将极性词与修饰词组合成极性短语作为极性计算的基本单元,提出了一种基于极性词典的情感分析方法。实验结果表明,利用本文构建的词典进行倾向性分析效果不错。

关键词: 极性词典;修饰词;极性短语;情感分析

Abstract:

A polarity lexicon is the foundation of sentiment analysis and orientation analysis. An overall and effective polarity lexicon was constructed, including base lexicon, domain lexicon, network lexicon and modifier lexicon. The influence of modifiers to polarity words was studied. A sentiment analysis method based on a polarity lexicon was proposed, in which the modifiers and polarity words were combined into polarity phrases, and the phrase was used as the basic unit to compute the polarity of sentences and texts. Experimental results showed that the effect of orientation analysis using polarity lexicon raised in this paper was good.

Key words: polarity lexicon; modifiers; polarity phrases; sentiment analysis

张成功1,2,刘培玉1,2*,朱振方1,2,方明1,2. 一种基于极性词典的情感分析方法[J]. J4, 2012, 47(3): 47-50.

ZHANG Cheng-gong 1, 2, LIU Pei-yu1, 2*, ZHU Zhen-fang1,2, FANG Ming1,2. A sentiment analysis method based on a polarity lexicon[J]. J4, 2012, 47(3): 47-50.

参考文献

多维度评价

Viewed

Full text

Abstract

Cited

Shared

Discussed