{"title":"意见挖掘强化教学学习过程","authors":"Sartaj Ahmad, Ashutosh Gupta, Neeraj Kumar Gupta","doi":"10.1109/CIPECH.2016.7918728","DOIUrl":null,"url":null,"abstract":"Online exchange of information is very common now a day. It offers opportunity & challenges to extract knowledge for individual use. There are different techniques to achieve this purpose. Therefore in this paper details about web mining especially about web content mining is presented. A comprehensive review about web mining techniques and their use in getting structured, semi structured and unstructured data from the ocean of information (World Wide Web) is also presented. Further opinion mining is explored as an application of web content mining for academic data to reinforce existing academic teaching learning process.","PeriodicalId":247543,"journal":{"name":"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Opinion mining to strengthen teaching learning process\",\"authors\":\"Sartaj Ahmad, Ashutosh Gupta, Neeraj Kumar Gupta\",\"doi\":\"10.1109/CIPECH.2016.7918728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online exchange of information is very common now a day. It offers opportunity & challenges to extract knowledge for individual use. There are different techniques to achieve this purpose. Therefore in this paper details about web mining especially about web content mining is presented. A comprehensive review about web mining techniques and their use in getting structured, semi structured and unstructured data from the ocean of information (World Wide Web) is also presented. Further opinion mining is explored as an application of web content mining for academic data to reinforce existing academic teaching learning process.\",\"PeriodicalId\":247543,\"journal\":{\"name\":\"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPECH.2016.7918728\",\"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 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2016.7918728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Opinion mining to strengthen teaching learning process
Online exchange of information is very common now a day. It offers opportunity & challenges to extract knowledge for individual use. There are different techniques to achieve this purpose. Therefore in this paper details about web mining especially about web content mining is presented. A comprehensive review about web mining techniques and their use in getting structured, semi structured and unstructured data from the ocean of information (World Wide Web) is also presented. Further opinion mining is explored as an application of web content mining for academic data to reinforce existing academic teaching learning process.
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