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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
Accesso libero
Research on Sentiment Analysis Techniques for Online Ideological and Political Education
Qi Zhou
Qi Zhou
Department of Architecture and Design, Qinhuangdao Vocational and Technical College
Qinhuangdao, China
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Zhou, Qi
,
Dan Yang
Dan Yang
The Communist Youth League, Qinhuangdao Vocational and Technical College
Qinhuangdao, China
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Yang, Dan
,
Sisi Zheng
Sisi Zheng
Department of Foreign Languages, Qinhuangdao Vocational and Technical College
Qinhuangdao, China
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Zheng, Sisi
e
Si Cheng
Si Cheng
Department of Architecture and Design, Qinhuangdao Vocational and Technical College
Qinhuangdao, China
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Cheng, Si
03 set 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Pubblicato online:
03 set 2024
Ricevuto:
01 mag 2024
Accettato:
06 ago 2024
DOI:
https://doi.org/10.2478/amns-2024-2466
Parole chiave
<kwd>LDA model</kwd>
,
<kwd>TF-IDF algorithm</kwd>
,
<kwd>Word2Vec</kwd>
,
<kwd>LSTM</kwd>
,
<kwd>Ideological and political education</kwd>
© 2024 Qi Zhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
