{"title":"微视频评论文本的情感分析","authors":"Zhengzheng Liu, Nan Yang, Sanxing Cao","doi":"10.1109/COMPCOMM.2016.7924756","DOIUrl":null,"url":null,"abstract":"With the rapid development of big data technology, the application of online micro video has been improved greatly. This paper provides a method of analyzing the sentiment of the review text for online micro video. By crawling, processing and analyzing of review text based on more than 20 domestic Internet video platforms, finally we get the sentimental value of each micro video by comprehensive evaluation. The algorithm is mainly contrast positive words and negative words contained in the text by the number, with the proportion of degree adverbs in the positive and negative evaluation and the degree value, finally come to sentiment value. The algorithm of sentiment-analysis described in this paper which based on the sentimental dictionary is proved to be effective.","PeriodicalId":210833,"journal":{"name":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Sentiment-analysis of review text for micro-video\",\"authors\":\"Zhengzheng Liu, Nan Yang, Sanxing Cao\",\"doi\":\"10.1109/COMPCOMM.2016.7924756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of big data technology, the application of online micro video has been improved greatly. This paper provides a method of analyzing the sentiment of the review text for online micro video. By crawling, processing and analyzing of review text based on more than 20 domestic Internet video platforms, finally we get the sentimental value of each micro video by comprehensive evaluation. The algorithm is mainly contrast positive words and negative words contained in the text by the number, with the proportion of degree adverbs in the positive and negative evaluation and the degree value, finally come to sentiment value. The algorithm of sentiment-analysis described in this paper which based on the sentimental dictionary is proved to be effective.\",\"PeriodicalId\":210833,\"journal\":{\"name\":\"2016 2nd IEEE International Conference on Computer and Communications (ICCC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd IEEE International Conference on Computer and Communications (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPCOMM.2016.7924756\",\"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 IEEE International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPCOMM.2016.7924756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the rapid development of big data technology, the application of online micro video has been improved greatly. This paper provides a method of analyzing the sentiment of the review text for online micro video. By crawling, processing and analyzing of review text based on more than 20 domestic Internet video platforms, finally we get the sentimental value of each micro video by comprehensive evaluation. The algorithm is mainly contrast positive words and negative words contained in the text by the number, with the proportion of degree adverbs in the positive and negative evaluation and the degree value, finally come to sentiment value. The algorithm of sentiment-analysis described in this paper which based on the sentimental dictionary is proved to be effective.