{"title":"文本挖掘在新冠肺炎常态下旅游问答平台用户信息需求演化中的应用","authors":"Wanjing Zhang","doi":"10.1109/ICDSBA53075.2021.00016","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to study the changing trend of Chinese Internet users' attitude towards tourism under the influence of COVID-19, and to explore the value of tourism development and change in the stage of normalization of COVID-19. This research obtained 870,000 user comments by crawler on the topic of \"tourism\" from Zhihu, China's largest online Q&A community, and classified 12 first-level topics by exploring the topics in user comments based on LDA model. In addition, this research utilized the SnowNLP model to make emotion analysis on each comment, and compared the trend of users' attention as well as emotion on tourism-related topics in months from 2019 to 2020. It is found that the attention to tourism in online communities has increased due to COVID-19; the fluctuation of attention to each tourism-related topic is closely related to the progress of COVID-19 and the promulgation of related policies. Users' emotion tendency and attention fluctuation in each topic show a high degree of consistency. Based on this, this paper puts forward suggestions including stabilizing the tourism industry structure and vigorously developing online tourism and IP consumption.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Text Mining Applied in Evolution of Q&A Platforms users’ Information Demand on Tourism in COVID-19 Normalization\",\"authors\":\"Wanjing Zhang\",\"doi\":\"10.1109/ICDSBA53075.2021.00016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this paper is to study the changing trend of Chinese Internet users' attitude towards tourism under the influence of COVID-19, and to explore the value of tourism development and change in the stage of normalization of COVID-19. This research obtained 870,000 user comments by crawler on the topic of \\\"tourism\\\" from Zhihu, China's largest online Q&A community, and classified 12 first-level topics by exploring the topics in user comments based on LDA model. In addition, this research utilized the SnowNLP model to make emotion analysis on each comment, and compared the trend of users' attention as well as emotion on tourism-related topics in months from 2019 to 2020. It is found that the attention to tourism in online communities has increased due to COVID-19; the fluctuation of attention to each tourism-related topic is closely related to the progress of COVID-19 and the promulgation of related policies. Users' emotion tendency and attention fluctuation in each topic show a high degree of consistency. Based on this, this paper puts forward suggestions including stabilizing the tourism industry structure and vigorously developing online tourism and IP consumption.\",\"PeriodicalId\":154348,\"journal\":{\"name\":\"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA53075.2021.00016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA53075.2021.00016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Text Mining Applied in Evolution of Q&A Platforms users’ Information Demand on Tourism in COVID-19 Normalization
The purpose of this paper is to study the changing trend of Chinese Internet users' attitude towards tourism under the influence of COVID-19, and to explore the value of tourism development and change in the stage of normalization of COVID-19. This research obtained 870,000 user comments by crawler on the topic of "tourism" from Zhihu, China's largest online Q&A community, and classified 12 first-level topics by exploring the topics in user comments based on LDA model. In addition, this research utilized the SnowNLP model to make emotion analysis on each comment, and compared the trend of users' attention as well as emotion on tourism-related topics in months from 2019 to 2020. It is found that the attention to tourism in online communities has increased due to COVID-19; the fluctuation of attention to each tourism-related topic is closely related to the progress of COVID-19 and the promulgation of related policies. Users' emotion tendency and attention fluctuation in each topic show a high degree of consistency. Based on this, this paper puts forward suggestions including stabilizing the tourism industry structure and vigorously developing online tourism and IP consumption.
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