المؤلفون: Santos, J.S., Paes, A., Bernardini, F.

المصدر: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS) BRACIS Intelligent Systems (BRACIS), 2019 8th Brazilian Conference on. :455-460 Oct, 2019

Relation: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS)

المؤلفون: Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang, Yeong-Seok Seo

المصدر: Journal of Information and Telecommunication, Vol 7, Iss 4, Pp 494-512 (2023)

مصطلحات موضوعية: M2SA, sentiment analysis dataset, aspect-level sentiment analysis, sentence-level sentiment analysis, Telecommunication, TK5101-6720, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2475-1839; https://doaj.org/toc/2475-1847

URL الوصول: https://doaj.org/article/ff257b51b7314db582fca485d702b304

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المؤلفون: Elmurod Kuriyozov, Sanatbek Matlatipov

المصدر: Proceedings, Vol 21, Iss 1, p 37 (2019)

مصطلحات موضوعية: sentiment analysis dataset, Uzbek language, sentiment classification, Natural Language Processing, deep learning, General Works

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2504-3900/21/1/37; https://doaj.org/toc/2504-3900

URL الوصول: https://doaj.org/article/610f4376def94ec2b9b92d7217fc14f3

المؤلفون: Swati Swati, Dunja Mladenić

مصطلحات موضوعية: Bias, News Bias, Geographical Bias, Olympics, Semantic Similar- ity, Sentiment Analysis, Dataset

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c79d455cf7c90faaee7b48f52394f6f

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المصدر: AIUB Journal of Science and Engineering (AJSE); Vol 22 No 2 (2023): AJSE Volume 22 Issue 2; 200 - 213; 2520-4890; 1608-3679; 10.53799/ajse.v22i2

مصطلحات الفهرس: Sentiment analysis dataset, Aspect based sentiment analysis, NLP, Data processing, Data preparation, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://ajse.aiub.edu/index.php/ajse/article/view/862
https://ajse.aiub.edu/index.php/ajse/article/view/862/166
https://ajse.aiub.edu/index.php/ajse/article/view/862/166

مصطلحات الفهرس: Sentiment analysis dataset, Uzbek language, Sentiment classification, Natural language processing, Deep learning, info:eu-repo/semantics/article

URL: http://hdl.handle.net/2183/23667
https://doi.org/10.3390/proceedings2019021037
https://doi.org/10.3390/proceedings2019021037