SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic

Autores:: Timaná-Peña, Jimena-Adriana
Cobos-Lozada, Carlos-Alberto
Anturi-Martínez, Jason-Paul
Paz-Realpe, José-Luis

Tipo de recurso:: Article of journal

Fecha de publicación:: 2023

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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spelling	Timaná-Peña, Jimena-AdrianaCobos-Lozada, Carlos-AlbertoAnturi-Martínez, Jason-PaulPaz-Realpe, José-Luis2023-11-22 16:58:442026-04-16T17:47:26Z2023-11-22 16:58:442023-11-220121-1129https://repositorio.uptc.edu.co/handle/001/2156610.19053/01211129.v32.n66.2023.163952357-5328https://doi.org/10.19053/01211129.v32.n66.2023.16395application/pdfUniversidad Pedagógica y Tecnológica de ColombiaJimena-Adriana Timaná-Peña, Carlos-Alberto Cobos-Lozada, Jason-Paul Anturi-Martínez, José-Luis Paz-Realpe - 2023http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ingenieria/article/view/16395Sentiment analysisSentiment classifiersPolarity classifiersPolarityFuzzy logicTwitterAnálisis de sentimientosClasificadores de polaridadClasificadores de sentimientosLógica difusaPolaridadSentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy LogicArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85M. Ahlgren, 55+ Twitter Statistics, Facts & Trends for 2023, 2023. https://www.websiterating.com/research/twitter-statistics/A. Ankit, N. Saleena, "An Ensemble Classification System for Twitter Sentiment Analysis," Procedia Computer Science, vol. 132, pp. 937-946, 2018. https://doi.org/10.1016/j.procs.2018.05.109S. Al-Azani, E.-S. M. El-Alfy, "Early and Late Fusion of Emojis and Text to Enhance Opinion Mining," IEEE Access, vol. 9, pp. 121031-121045, 2021. https://doi.org/10.1109/ACCESS.2021.3108502J. Anturi, et al., "Clasificadores para el Análisis de Sentimientos en Twitter: Una revisión," in Computer Science, Electronics and Industrial Engineering, 2019.D. H. Wahid, S. N. Azhari, Senti Strength ID, 2016. https://github.com/masdevid/sentistrength_idC. Hutto, E. Gilbert, "VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text," in Eighth International Conference on Web and SocialMedia, 2014. https://doi.org/10.1609/icwsm.v8i1.14550S.Tari, M. Basseur, A Goëffon, “Expansion-based Hill-climbing” Information Sciences, vol. 649, e119635, 2023. https://doi.org/10.1016/j.ins.2023.119635Microsoft, Text Analytics, 2023. https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/IBM, Natural Language Understanding, 2023 https://www.ibm.com/watson/services/natural-language-understanding/Geeksforgeeks, Tweepy, 2023. https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/M. Araujo, iFeel Benchmarking Datasets, 2016. https://bitbucket.org/matheusaraujo/ifeel-benchmarking-datasets/src/master/Y. Sasaki, The Truth of the F-Measure, 2007. https://www.cs.odu.edu/~mukka/cs795sum09dm/Lecturenotes/Day3/F-measure-YS-26Oct07.pdfe1639566e1639532Revista Facultad de Ingenieríahttps://revistas.uptc.edu.co/index.php/ingenieria/article/download/16395/13809Núm. 66 , Año 2023 : October-December 2023 (Continuous Publication)PublicationOREORE.xmltext/xml2714https://repositorio.uptc.edu.co/bitstreams/5af58dbb-aa81-4ee6-b17d-f399740c9d19/download24d438932689f3edee15688eafce3c5bMD51falseAnonymousREAD001/21566oai:repositorio.uptc.edu.co:001/215662026-10-29 14:05:14.697http://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com
dc.title.en-US.fl_str_mv	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
title	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
spellingShingle	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic Sentiment analysis Sentiment classifiers Polarity classifiers Polarity Fuzzy logic Twitter Análisis de sentimientos Clasificadores de polaridad Clasificadores de sentimientos Lógica difusa Polaridad
title_short	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
title_full	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
title_fullStr	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
title_full_unstemmed	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
title_sort	SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic
dc.creator.fl_str_mv	Timaná-Peña, Jimena-Adriana Cobos-Lozada, Carlos-Alberto Anturi-Martínez, Jason-Paul Paz-Realpe, José-Luis
dc.contributor.author.eng.fl_str_mv	Timaná-Peña, Jimena-Adriana Cobos-Lozada, Carlos-Alberto Anturi-Martínez, Jason-Paul Paz-Realpe, José-Luis
dc.subject.none.fl_str_mv	Sentiment analysis Sentiment classifiers Polarity classifiers Polarity Fuzzy logic Twitter Análisis de sentimientos Clasificadores de polaridad Clasificadores de sentimientos Lógica difusa Polaridad
topic	Sentiment analysis Sentiment classifiers Polarity classifiers Polarity Fuzzy logic Twitter Análisis de sentimientos Clasificadores de polaridad Clasificadores de sentimientos Lógica difusa Polaridad
publishDate	2023
dc.date.accessioned.none.fl_str_mv	2023-11-22 16:58:44 2026-04-16T17:47:26Z
dc.date.available.none.fl_str_mv	2023-11-22 16:58:44
dc.date.issued.none.fl_str_mv	2023-11-22
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dc.relation.references.none.fl_str_mv	M. Ahlgren, 55+ Twitter Statistics, Facts & Trends for 2023, 2023. https://www.websiterating.com/research/twitter-statistics/ A. Ankit, N. Saleena, "An Ensemble Classification System for Twitter Sentiment Analysis," Procedia Computer Science, vol. 132, pp. 937-946, 2018. https://doi.org/10.1016/j.procs.2018.05.109 S. Al-Azani, E.-S. M. El-Alfy, "Early and Late Fusion of Emojis and Text to Enhance Opinion Mining," IEEE Access, vol. 9, pp. 121031-121045, 2021. https://doi.org/10.1109/ACCESS.2021.3108502 J. Anturi, et al., "Clasificadores para el Análisis de Sentimientos en Twitter: Una revisión," in Computer Science, Electronics and Industrial Engineering, 2019. D. H. Wahid, S. N. Azhari, Senti Strength ID, 2016. https://github.com/masdevid/sentistrength_id C. Hutto, E. Gilbert, "VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text," in Eighth International Conference on Web and SocialMedia, 2014. https://doi.org/10.1609/icwsm.v8i1.14550 S.Tari, M. Basseur, A Goëffon, “Expansion-based Hill-climbing” Information Sciences, vol. 649, e119635, 2023. https://doi.org/10.1016/j.ins.2023.119635 Microsoft, Text Analytics, 2023. https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ IBM, Natural Language Understanding, 2023 https://www.ibm.com/watson/services/natural-language-understanding/ Geeksforgeeks, Tweepy, 2023. https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/ M. Araujo, iFeel Benchmarking Datasets, 2016. https://bitbucket.org/matheusaraujo/ifeel-benchmarking-datasets/src/master/ Y. Sasaki, The Truth of the F-Measure, 2007. https://www.cs.odu.edu/~mukka/cs795sum09dm/Lecturenotes/Day3/F-measure-YS-26Oct07.pdf
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SentiFuzzy: A Twitter Sentiment Classifier Based on Fuzzy Logic

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