{"title":"基于情感分类的购物网站用户评价LSTM","authors":"Rong Xiao, Xiaohui Cui, Peipei Zhou, Wanfeng Ge","doi":"10.1109/IIKI.2016.77","DOIUrl":null,"url":null,"abstract":"The user evaluation of shopping websites always has huge amounts of data which is a waste of manpower and material resources. Aiming at this problem, this paper puts forward a model based on LSTM and word vectors [1]. LSTM can be a very good solution because of the long distance learning of the neural nodes to forward neural nodes of declining awareness, thus LSTM neural network model can be better to finish the task of user sentiment analysis.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LSTM Based on the Classification of Emotion about User Evaluation on Shopping Site\",\"authors\":\"Rong Xiao, Xiaohui Cui, Peipei Zhou, Wanfeng Ge\",\"doi\":\"10.1109/IIKI.2016.77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The user evaluation of shopping websites always has huge amounts of data which is a waste of manpower and material resources. Aiming at this problem, this paper puts forward a model based on LSTM and word vectors [1]. LSTM can be a very good solution because of the long distance learning of the neural nodes to forward neural nodes of declining awareness, thus LSTM neural network model can be better to finish the task of user sentiment analysis.\",\"PeriodicalId\":371106,\"journal\":{\"name\":\"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIKI.2016.77\",\"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 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIKI.2016.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LSTM Based on the Classification of Emotion about User Evaluation on Shopping Site
The user evaluation of shopping websites always has huge amounts of data which is a waste of manpower and material resources. Aiming at this problem, this paper puts forward a model based on LSTM and word vectors [1]. LSTM can be a very good solution because of the long distance learning of the neural nodes to forward neural nodes of declining awareness, thus LSTM neural network model can be better to finish the task of user sentiment analysis.
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