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The Principle and Implementation of Sentiment Analysis System

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Advances in Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1588))

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Abstract

The sentiment analysis system is one of the most classic applications in natural language processing and enduring. The development of the mobile Internet has greatly increased people's participation, and everyone can make their own comments on social media platforms such as Weibo. Through public opinion mining and emotional analysis of text information, a rich potential value of information can be obtained. However, in the face of a large number of comment data, how is it more convenient for public opinion workers to see the whole picture and take timely measures? This is the practical problem to be addressed in this article. The main work of this article is to build a public opinion emotional analysis system about Jiangsu Police Institute, to realize the emotional analysis of the comments related to Jiangsu Police Institute in Weibo and post bar. Then related workers are able to screen out the comments of negative emotions. The experimental dataset in this article is a training dataset composed of positive and negative reviews selected from JD commodity reviews, and the test data are random reviews selected from the microblog of Jiangsu Police Institute. This article details the processing of the Chinese comment text dataset. Because Chinese text is involved, the data is first partitioned using the jieba participle. After the data pre-processing, we input the processed data into the Word2Vec model, and set the relevant parameters according to the formatting rules of the word2vec, so that the dataset of text can be quantized to facilitate code learning.

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Funding

The authors received no specific funding for this study.

Author information

Authors and Affiliations

  1. Department of Computer Information and Network Security, Jiangsu Police Institute, Nan**g, 210000, China

    Jiani Xue & Yuqi Chen

Authors
  1. Jiani Xue
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  2. Yuqi Chen
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Corresponding author

Correspondence to Yuqi Chen .

Editor information

Editors and Affiliations

  1. Nan**g University of Information Science and Technology, Nan**g, China

    **ngming Sun

  2. Nan**g University of Information Science and Technology, Nan**g, China

    **aorui Zhang

  3. **an University, Guangzhou, China

    Zhihua **a

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Xue, J., Chen, Y. (2022). The Principle and Implementation of Sentiment Analysis System. In: Sun, X., Zhang, X., **a, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1588. Springer, Cham. https://doi.org/10.1007/978-3-031-06764-8_3

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  • DOI: https://doi.org/10.1007/978-3-031-06764-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06763-1

  • Online ISBN: 978-3-031-06764-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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