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Analysis and prediction of factors influencing the hotness of Weibo trending keywords
- 1 Nanjing University
* Author to whom correspondence should be addressed.
Abstract
This study is a data analysis project based on Weibo’s trending search data. It selected over 350,000 pieces of data from January 1, 2021, to July 31, 2023, for analysis. In this study, we explore the various factors that impact the hotness of lWeibo trending keywords. By conducting a thorough analysis of these factors, we aim to gain a deeper understanding of the dynamics that drive certain keywords to become hot topics. Through this analysis, we aim to establish patterns and correlations between different variables that contribute to the hotness of a keyword. Furthermore, we intend to develop predictive models that can forecast the potential hotness of keywords based on these factors, providing valuable insights for content creators, marketers, and social media analysts.
Keywords
neural network, social media, sentimental analysis, linear regression
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Cite this article
Chen,Y. (2024). Analysis and prediction of factors influencing the hotness of Weibo trending keywords. Applied and Computational Engineering,55,110-119.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning
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