{"title":"Emotional Analysis and Comparison of Network Novel Review and Main Text","authors":"Tao Yan, Wenjun Hou","doi":"10.1109/ICCC56324.2022.10065818","DOIUrl":null,"url":null,"abstract":"As the network grows in popularity, so does the popularity of network novels based on the network platform. Simultaneously, the network novel platform has amassed a huge number of network novels with unique network reviews-“Benzhangshuo”. The purpose of this article is to use text emotional analysis technology to extract and visualize emotional information in the main text and “Benzhangshuo”, as well as to assess their properties and their relationship. It can make recommendations for content development, retrieval channels, and network innovative recommendations. This study divides the emotion types in the network novel text and “Benzhangshuo” using an emotion analysis method based on an emotion dictionary. The experimental results demonstrate that the main text and “Benzhangshuo” in the popular novel Da Wang Rao Ming” have essentially the same emotion distribution principles, but the proportion of the two emotion distribution is different.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCC56324.2022.10065818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As the network grows in popularity, so does the popularity of network novels based on the network platform. Simultaneously, the network novel platform has amassed a huge number of network novels with unique network reviews-“Benzhangshuo”. The purpose of this article is to use text emotional analysis technology to extract and visualize emotional information in the main text and “Benzhangshuo”, as well as to assess their properties and their relationship. It can make recommendations for content development, retrieval channels, and network innovative recommendations. This study divides the emotion types in the network novel text and “Benzhangshuo” using an emotion analysis method based on an emotion dictionary. The experimental results demonstrate that the main text and “Benzhangshuo” in the popular novel Da Wang Rao Ming” have essentially the same emotion distribution principles, but the proportion of the two emotion distribution is different.