Analysis of ChatGPT Users'Online Comments Based on Topic Emotion:Case Study of Bilibili Platform
[Purpose/significance]In the context of the rapid rise of AIGC,ChatGPT is unprecedentedly hot,causing extensive public discussion.User comments can reflect the current application status of ChatGPT,so as to provide references for scientific and reasonable use of the technology.[Method/process]By crawling 3568 comments from videos related to bilibili platform,this paper uses Python to build an LDA model to extract text topics,analyzes the emotional tendencies of each topic,and builds semantic networks with positive and negative tendencies respectively on this basis to find the advantages and disadvantages of ChatGPT application.[Result/conclusion]This paper summarizes the review data into four themes:application field,technical capability,scientific and technological impact,and content output.It is found that the application of ChatGPT has an impact on employment competition,and the aspect of semantic technology has defects,the accuracy and authenticity of the output results are worthy of discussion,and users are psychologically dependent on ChatGPT.Finally,it puts forward the corresponding development suggestions.
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