{"title":"使用TextRank停止复习摘要中的单词","authors":"S. R. Manalu","doi":"10.1109/ECTICON.2017.8096371","DOIUrl":null,"url":null,"abstract":"This paper presents a comparison of automatic review summarization with and without stop words. An extractive, unsupervised graph-based ranking model TextRank is employed to highlight the differences between both approaches. Experimental results on 50 sample reviews have shown that the usage of stop words removal can be impactful in determining the result of review summarization, which suggests that depending on the user requirements, it should be considered whether stop words removal needs to be performed or not.","PeriodicalId":273911,"journal":{"name":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Stop words in review summarization using TextRank\",\"authors\":\"S. R. Manalu\",\"doi\":\"10.1109/ECTICON.2017.8096371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a comparison of automatic review summarization with and without stop words. An extractive, unsupervised graph-based ranking model TextRank is employed to highlight the differences between both approaches. Experimental results on 50 sample reviews have shown that the usage of stop words removal can be impactful in determining the result of review summarization, which suggests that depending on the user requirements, it should be considered whether stop words removal needs to be performed or not.\",\"PeriodicalId\":273911,\"journal\":{\"name\":\"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECTICON.2017.8096371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2017.8096371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a comparison of automatic review summarization with and without stop words. An extractive, unsupervised graph-based ranking model TextRank is employed to highlight the differences between both approaches. Experimental results on 50 sample reviews have shown that the usage of stop words removal can be impactful in determining the result of review summarization, which suggests that depending on the user requirements, it should be considered whether stop words removal needs to be performed or not.