基于支持向量机的网络评论意见分析

通讯和计算机:中英文版 Pub Date : 2017-02-28 DOI:10.17265/1548-7709/2017.02.005

Renato S. C. da Rocha, M. Pacheco, L. Mendoza

{"title":"基于支持向量机的网络评论意见分析","authors":"Renato S. C. da Rocha, M. Pacheco, L. Mendoza","doi":"10.17265/1548-7709/2017.02.005","DOIUrl":null,"url":null,"abstract":"This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using SVM (support vector machine). Weka software and a movie review database from IMDb (internet movie database) were used. This work uses preprocessing filters and WRAPPER techniques and SVM for classification. It presents better results when compared to other preprocessing techniques used in sentiment analysis.","PeriodicalId":69156,"journal":{"name":"通讯和计算机:中英文版","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Opinion Analysis on Web-based Reviews Using Support Vector Machine\",\"authors\":\"Renato S. C. da Rocha, M. Pacheco, L. Mendoza\",\"doi\":\"10.17265/1548-7709/2017.02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using SVM (support vector machine). Weka software and a movie review database from IMDb (internet movie database) were used. This work uses preprocessing filters and WRAPPER techniques and SVM for classification. It presents better results when compared to other preprocessing techniques used in sentiment analysis.\",\"PeriodicalId\":69156,\"journal\":{\"name\":\"通讯和计算机:中英文版\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"通讯和计算机:中英文版\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.17265/1548-7709/2017.02.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"通讯和计算机:中英文版","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.17265/1548-7709/2017.02.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本工作旨在利用情感分析技术、数据挖掘、文本挖掘和自然语言处理，使用SVM（支持向量机）来指示文本的极性。使用Weka软件和IMDb（互联网电影数据库）的电影评论数据库。这项工作使用预处理滤波器和WRAPPER技术以及SVM进行分类。与情绪分析中使用的其他预处理技术相比，它呈现出更好的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Opinion Analysis on Web-based Reviews Using Support Vector Machine

This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using SVM (support vector machine). Weka software and a movie review database from IMDb (internet movie database) were used. This work uses preprocessing filters and WRAPPER techniques and SVM for classification. It presents better results when compared to other preprocessing techniques used in sentiment analysis.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

通讯和计算机:中英文版

自引率

0.00%

发文量

843