Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Khadija Es-sabery"'
Autor:
Fatima Es-Sabery, Khadija Es-Sabery, Junaid Qadir, Beatriz Sainz-De-Abajo, Abdellatif Hair, Begona Garcia-Zapirain, Isabel De La Torre-Diez
Publikováno v:
IEEE Access, Vol 9, Pp 58706-58739 (2021)
Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture human sentiment in the given text. With the ever-spreading of online purchasing websites, micro-blogging sites, and social media platforms, OM in online social m
Externí odkaz:
https://doaj.org/article/aaaef0f196d841408c4f036ca2453eec
Publikováno v:
Infocommunications journal. 14:85-96
Sentiment analysis is the process of recognizing and categorizing the emotions being expressed in a textual source. Tweets are commonly used to generate a large amount of sentiment data after they are analyzed. These feelings data help to learn about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c94ec300b63060df5a1a0161787c693f
https://doi.org/10.36244/icj.2022.2.9
https://doi.org/10.36244/icj.2022.2.9
Publikováno v:
Business Intelligence ISBN: 9783031064579
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a075ca7772d10fbdd1d1a5b77b420b2
https://doi.org/10.1007/978-3-031-06458-6_1
https://doi.org/10.1007/978-3-031-06458-6_1
Publikováno v:
E3S Web of Conferences, Vol 297, p 01052 (2021)
This contribution proposes a new model for sentiment analysis, which combines the convolutional neural network (CNN), C4.5 decision tree algorithm, and Fuzzy Rule-Based System (FRBS). Our suggested method consists of six parts. Firstly we have applie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10e259cf6ca87809f2f451e84fc0a92e
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01052.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01052.pdf
Publikováno v:
Business Intelligence ISBN: 9783030765071
CBI
CBI
In this contribution, we introduce an innovative classification approach for opinion mining. We have used the feature extractor Fast Text to detect and capture the given tweets’ relevant data efficiently. Then, we have applied the feature selector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fd7e1c7b5308c091249275c150ff049
https://doi.org/10.1007/978-3-030-76508-8_13
https://doi.org/10.1007/978-3-030-76508-8_13