Generating Word and Document Embeddings for Sentiment Analysis-Reference-Cited by-同舟云学术

Generating Word and Document Embeddings for Sentiment Analysis

Published:2023 Issue: Volume: Page:307-318
ISSN:0302-9743
Container-title:Computational Linguistics and Intelligent Text Processing
language:
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Author:

Aydın Cem Rıfkı^ORCID,Güngör Tunga^ORCID,Erkan Ali^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-24340-0_23

Reference19 articles.

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3. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

4. Boyd-Graber, J., Resnik, P.: Holistic sentiment analysis across languages: multilingual supervised latent Dirichlet allocation. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 45–55. Association for Computational Linguistics (2010)

5. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995). https://doi.org/10.1023/A:1022627411411

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