{"title":"基于奇异值分解的新闻提要概念检测与聚类分析方法","authors":"M. Scholar, Babu B. Sathish, Professor","doi":"10.1109/CINE.2016.30","DOIUrl":null,"url":null,"abstract":"Concept detection plays an important role if there is a huge amount of data available. We know that cluster analysis, topic detection, opinion mining have got a major role in the product marketing, online shopping, E-commerce. In this paper, we have conducted the topic detection and clustering experiments on the News samples which were sourced from online newspapers. Our aim is to find out the topics which also available in the text documents as a group of words and apply a clustering technique using the Singular value decomposition method. Then opinions are extracted from the comments, collected on a particular subject of interest like the comments for Smartphone. Finally, the clustering technique is applied on these sentiments to figure out the opinions of the people towards different features of the Smartphone. The results obtained here are competitive with the technology available.","PeriodicalId":142174,"journal":{"name":"2016 2nd International Conference on Computational Intelligence and Networks (CINE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Concept Detection and Cluster Analysis from Newsfeed-Singular Value Decomposition Based Approach\",\"authors\":\"M. Scholar, Babu B. Sathish, Professor\",\"doi\":\"10.1109/CINE.2016.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concept detection plays an important role if there is a huge amount of data available. We know that cluster analysis, topic detection, opinion mining have got a major role in the product marketing, online shopping, E-commerce. In this paper, we have conducted the topic detection and clustering experiments on the News samples which were sourced from online newspapers. Our aim is to find out the topics which also available in the text documents as a group of words and apply a clustering technique using the Singular value decomposition method. Then opinions are extracted from the comments, collected on a particular subject of interest like the comments for Smartphone. Finally, the clustering technique is applied on these sentiments to figure out the opinions of the people towards different features of the Smartphone. The results obtained here are competitive with the technology available.\",\"PeriodicalId\":142174,\"journal\":{\"name\":\"2016 2nd International Conference on Computational Intelligence and Networks (CINE)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Computational Intelligence and Networks (CINE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINE.2016.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Computational Intelligence and Networks (CINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINE.2016.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Concept Detection and Cluster Analysis from Newsfeed-Singular Value Decomposition Based Approach
Concept detection plays an important role if there is a huge amount of data available. We know that cluster analysis, topic detection, opinion mining have got a major role in the product marketing, online shopping, E-commerce. In this paper, we have conducted the topic detection and clustering experiments on the News samples which were sourced from online newspapers. Our aim is to find out the topics which also available in the text documents as a group of words and apply a clustering technique using the Singular value decomposition method. Then opinions are extracted from the comments, collected on a particular subject of interest like the comments for Smartphone. Finally, the clustering technique is applied on these sentiments to figure out the opinions of the people towards different features of the Smartphone. The results obtained here are competitive with the technology available.
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