research-article

User-based Hierarchical Network of Sina Weibo Emotion Analysis

Authors:

Meng WangAuthors Info & Claims

ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 22, Issue 5

Article No.: 143, Pages 1 - 22

https://doi.org/10.1145/3579048

Published: 09 May 2023 Publication History

Abstract

Emotion analysis on Sina Weibo has a great impetus for government agencies to survey public opinion and enterprises to track market demand. Most of the existing emotion analysis work on Sina Weibo focuses on mining the information contained in a single Weibo, ignoring the problem of inaccurate information extraction caused by the lack of contextual information in Weibo texts. Inspired by humans judging user emotional states from Weibo texts, this article creates a Weibo text five-category emotion classification dataset based on active users and proposes a user-based hierarchical network for Weibo emotion analysis. First, use the multi-head attention mechanism and convolutional neural network set in the information extraction module to analyze a single Weibo text to fully extract the emotional information contained in the text; at the same time, through the moving window set in the relevant information capture module, obtain other Weibo texts posted by the same user within a period, and capture the effective correlation information between Weibo texts; then, the dual text representation obtained above is concatenated, and through the information interaction layer, the relevant information is retrieved again, and the text representation is updated; finally, the classifier output the five-category emotion labels corresponding to each Weibo text. We demonstrate the model’s effectiveness through experiments and analysis in the results.

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Cited By

Meng CWu WHe A(2024)Evolution mechanism of massive data streams: big data processing method based on nonlinear partial differential equation model2024 4th International Symposium on Computer Technology and Information Science (ISCTIS)10.1109/ISCTIS63324.2024.10699194(661-665)Online publication date: 12-Jul-2024
https://doi.org/10.1109/ISCTIS63324.2024.10699194
Xiao YYang YXu HLi S(2024)Empirical insights into the interaction effects of groups at high risk of depression on online social platforms with NLP-based sentiment analysisData and Information Management10.1016/j.dim.2024.100080(100080)Online publication date: Sep-2024
https://doi.org/10.1016/j.dim.2024.100080
Wang ZZhang LZhao KMaimaiti MBi XFan H(2024)EBSD: Short Text Sentiment Classification Using Sentence Vector Enhancement MechanismPattern Recognition and Computer Vision10.1007/978-981-97-8502-5_24(335-349)Online publication date: 1-Nov-2024
https://doi.org/10.1007/978-981-97-8502-5_24
Show More Cited By

Index Terms

User-based Hierarchical Network of Sina Weibo Emotion Analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
  2. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Sentiment analysis

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Published In

cover image ACM Transactions on Asian and Low-Resource Language Information Processing

ACM Transactions on Asian and Low-Resource Language Information Processing Volume 22, Issue 5

May 2023

653 pages

ISSN:2375-4699

EISSN:2375-4702

DOI:10.1145/3596451

Editor:
Imed Zitouni
Google, USA

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Publication History

Published: 09 May 2023

Online AM: 06 January 2023

Accepted: 25 December 2022

Revised: 24 October 2022

Received: 29 March 2022

Published in TALLIP Volume 22, Issue 5

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National Key R&D Programme of China
Major Project of Anhui Province
General Programmer of the National Natural Science Foundation of China

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Cited By

Meng CWu WHe A(2024)Evolution mechanism of massive data streams: big data processing method based on nonlinear partial differential equation model2024 4th International Symposium on Computer Technology and Information Science (ISCTIS)10.1109/ISCTIS63324.2024.10699194(661-665)Online publication date: 12-Jul-2024
https://doi.org/10.1109/ISCTIS63324.2024.10699194
Xiao YYang YXu HLi S(2024)Empirical insights into the interaction effects of groups at high risk of depression on online social platforms with NLP-based sentiment analysisData and Information Management10.1016/j.dim.2024.100080(100080)Online publication date: Sep-2024
https://doi.org/10.1016/j.dim.2024.100080
Wang ZZhang LZhao KMaimaiti MBi XFan H(2024)EBSD: Short Text Sentiment Classification Using Sentence Vector Enhancement MechanismPattern Recognition and Computer Vision10.1007/978-981-97-8502-5_24(335-349)Online publication date: 1-Nov-2024
https://doi.org/10.1007/978-981-97-8502-5_24
Vats PSharma NSharma D(2023)HKG: A Novel Approach for Low Resource Indic Languages to Automatic Knowledge Graph ConstructionACM Transactions on Asian and Low-Resource Language Information Processing10.1145/3611306Online publication date: 2-Aug-2023
https://dl.acm.org/doi/10.1145/3611306

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