管理工程学报2017，Vol.31Issue(2)：47-54,8.DOI:10.13587/j.cnki.jieem.2017.02.006
基于情感本体的在线评论情感极性及强度分析:以手机为例
Sentimental polarity and strength of online cellphone reviews based on sentiment ontology
摘要
Abstract
With the development of Internet and E-commence,an increasing number of people have submitted or retrieved online reviews about products via a variety of web-based channels.Online reviews can facilitate consumers' purchasing decisions and merchants' sales decisions because online reviews reflect users' opinions on certain products.However,it is impossible to collect and summarize users' opinions by hand because of the explosion of unstructured online reviews.Therefore,the demand for sentiment classification rises in response to the requirement of automatically retrieving valuable information from online reviews.There are two kinds of approaches for sentiment classification:semantic approach and statistical approach.The existing researches only perform sentiment classification at single levels of granularity based on semantic approach or statistical approach.The semantic approach performs context-free sentiment classification based on the existing sentiment lexicon,while the statistical approach performs context-sensitive sentiment classification based on a large number of manually annotated training reviews.Therefore,it is necessary to combine statistical approach and semantic approach to improve the effectiveness of sentiment classification.Traditional sentiment classification was performed at the coarse-grained level.A growing number of studies have examined sentiment classification at the more fine-grained phrase level in recent years.To identify consumers'opinions on both coarse-grained level and fine-grained phrase level,and to improve the applications of sentiment classification,tackling the sentiment classification problem at varying levels of granularity is necessary.To tackle these problems,we develop sentiment ontology to facilitate sentiment classification at varying levels of granularity and assess the sentimental polarity and strength of online reviews.Then,the effectiveness of the sentiment ontology is rigorously evaluated based on real online reviews retrieved from a popular E-Commerce website.Firstly,according to the characteristic of existing online reputation system and Chinese online reviews,we apply the combination of statistical approach and semantic approach to automatically construct sentiment ontology.The sentiment ontology is mainly focused on extracting Feature-Opinion Pair and identifying sentiment of opinions.After that,sentiment ontology is used to improve the effectiveness of sentiment classification on both the coarse-grained level and fine-grained phrase level.At last,we conduct experiments to quantitatively evaluate the effectiveness of the sentiment ontology based on real cellphones online reviews.The experimental results of sentimet ontology construction show that sentiment values of opinion words are different in different Feature-Opinion Pairs.Negative words not only change the polarity of opinion words but also weaken sentiment intensity of the words.Degree adverbs strength the sentiment intensity of opinion words,but the degree of strengthening declines with the increasing intensity.The experimental results of sentiment classification show that sentiment ontology is an effective solution for sentiment classification on both the coarse-grained and fine-grained phrase levels.This paper utilizes sentiment ontology as a feature dimension reduction method.As a result,the accuracy of classification is higher than traditional feature dimension reduction method.The improved accuracy proves that sentiment ontology is effective for coarse-grained level sentiment classification.The sorting of sentiment intensity values calculated by sentiment ontology is the same as the sorted values with manual analysis.Sentiment intensity values prove that sentiment ontology is effective for fine-grained phrase level sentiment classification.关键词
情感分类/中文在线评论/情感本体/手机Key words
Sentiment classification/Chinese online reviews/Sentiment ontology/Cellphone分类
信息技术与安全科学引用本文复制引用
郑丽娟,王洪伟..基于情感本体的在线评论情感极性及强度分析:以手机为例[J].管理工程学报,2017,31(2):47-54,8.基金项目
国家自然科学基金资助项目(70971099、71371144) （70971099、71371144）
上海市哲学社会科学规划课题资助一般项目(2013BGL004) （2013BGL004）
中央高校基本科研业务费专项资金资助项目(1200219198) （1200219198）
