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Design of Festival Sentiment Classifier Based on Social Network
Joint Authors
Yuan, Huilin
Song, Yufan
Hu, Jianlu
Ma, Yatao
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
With the development of society, more and more attention has been paid to cultural festivals.
In addition to the government’s emphasis, the increasing consumption in festivals also proves that cultural festivals are playing increasingly important role in public life.
Therefore, it is very vital to grasp the public festival sentiment.
Text sentiment analysis is an important research content in the field of machine learning in recent years.
However, at present, there are few studies on festival sentiment, and sentiment classifiers are also limited by domain or language.
The Chinese text classifier is much less than the English version.
This paper takes Sina Weibo as the text information carrier and Chinese festival microblogs as the research object.
CHN-EDA is used to do Chinese text data augmentation, and then the traditional classifiers CNN, DNN, and naïve Bayes are compared to obtain a higher accuracy.
The matching optimizer is selected, and relevant parameters are determined through experiments.
This paper solves the problem of unbalanced Chinese sentiment data and establishes a more targeted festival text classifier.
This festival sentiment classifier can collect public festival emotion effectively, which is beneficial for cultural inheritance and business decisions adjustment.
American Psychological Association (APA)
Yuan, Huilin& Song, Yufan& Hu, Jianlu& Ma, Yatao. 2020. Design of Festival Sentiment Classifier Based on Social Network. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138859
Modern Language Association (MLA)
Yuan, Huilin…[et al.]. Design of Festival Sentiment Classifier Based on Social Network. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138859
American Medical Association (AMA)
Yuan, Huilin& Song, Yufan& Hu, Jianlu& Ma, Yatao. Design of Festival Sentiment Classifier Based on Social Network. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138859
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138859