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Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910766/ https://www.ncbi.nlm.nih.gov/pubmed/36789379 http://dx.doi.org/10.1007/s13278-023-01030-x |
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author | Qi, Yuxing Shabrina, Zahratu |
author_facet | Qi, Yuxing Shabrina, Zahratu |
author_sort | Qi, Yuxing |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9910766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-99107662023-02-10 Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach Qi, Yuxing Shabrina, Zahratu Soc Netw Anal Min Original Article Springer Vienna 2023-02-09 2023 /pmc/articles/PMC9910766/ /pubmed/36789379 http://dx.doi.org/10.1007/s13278-023-01030-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Qi, Yuxing Shabrina, Zahratu Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach |
title | Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach |
title_full | Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach |
title_fullStr | Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach |
title_full_unstemmed | Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach |
title_short | Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach |
title_sort | sentiment analysis using twitter data: a comparative application of lexicon- and machine-learning-based approach |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910766/ https://www.ncbi.nlm.nih.gov/pubmed/36789379 http://dx.doi.org/10.1007/s13278-023-01030-x |
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