基于情感词典的酒店评论情感分析与可视化  被引量:9

Sentiment Analysis and Visualization of Hotel Reviews Based on Sentiment Dictionary

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作  者:高华玲[1] 张晶[1] GAO Hualing;ZHANG Jing(Sanya University,Sanya Hainan 572022)

机构地区:[1]三亚学院,海南三亚572022

出  处:《软件》2021年第1期45-47,66,共4页Software

基  金:海南省教育厅高校科研项目(Hnky2020-47)。

摘  要:为研究高端酒店服务中的亮点和不足,分析酒店用户评论舆情,文章对高端酒店用户评论进行情感分析和可视化,提出酒店优势与改进策略。文章采用通用情感词典Hownet与酒店评论相关的评论领域专业词典相结合的方式构建领域情感词典。结合所构建的领域情感词典和其他特殊词典,比如短语词典、否定词词典和副词词典等进行情感分类,然后将分类完成的三个极性的情感词进行词频统计和词云绘制,最后根据词云结果,给出高端酒店在经营策略上的改进建议。In order to study the highlights and shortcomings of high-end hotel services,analyze the public opinion of hotel user reviews,the article conducts emotional analysis and visualization of high-end hotel user reviews,and proposes hotel advantages and improvement strategies.The article uses the general sentiment dictionary Hownet to construct a domain sentiment dictionary by combining the professional dictionary in the review domain related to hotel reviews.Combine the constructed domain sentiment dictionary and other special dictionaries,such as phrase dictionary,negative word dictionary,and adverb dictionary,to classify sentiment,and then perform word frequency statistics and word cloud drawing for the three polar sentiment words that have been classified,and finally according to the words The cloud results provide suggestions for improvement of high-end hotels’business strategies.

关 键 词:情感词典 情感分析 词云 可视化 

分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]

 

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