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Text Classification Model for Public Opinion Management in Colleges and Universities Based on Improved CNN

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

Abstract

In recent years, the incidence of online public opinion in universities has been high. Monitoring, forecasting and responding to public opinion in colleges and universities have increasingly become the work that education management departments at all levels and universities attach great importance to. The purpose of this article is to build a network public opinion management text classification model based on a convolutional neural network, mainly by analyzing its internal mechanisms and models in an attempt to find new laws of public opinion generation and dissemination. The main methods used in this paper are three-layer Bayesian model and convolutional neural network on LDA text, and describe the text classification process. The experiments used are mainly through the existing Weibo review data in the public data set as training and verification data and the Weibo data crawled in real time in the web version of Weibo as raw data. Finally, the data is preprocessed to sort out the text review information. After analyzing the data, it is concluded that the LDA + improved TextCNN model proposed in this paper is improved overall than the original TextCNN model, and the LDA + improved TextCNN model in food has decreased compared with the TextCNN model.

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Author information

Authors and Affiliations

  1. Sichuan Vocational and Technical College, SCVTC, Suining, China

    Wenliang Luo & Jiaqiong Gao

Authors
  1. Wenliang Luo
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  2. Jiaqiong Gao
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Corresponding author

Correspondence to Jiaqiong Gao .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, and Center for Data Science and Big Data Analytics, Oakland University, School of Business Administration, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

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Luo, W., Gao, J. (2021). Text Classification Model for Public Opinion Management in Colleges and Universities Based on Improved CNN. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_68

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