Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Abdellatif Hair"'
Autor:
Fatima Es-Sabery, Ibrahim Es-Sabery, Abdellatif Hair, Beatriz Sainz-De-Abajo, Begonya Garcia-Zapirain
Publikováno v:
IEEE Access, Vol 10, Pp 87870-87899 (2022)
Emotion processing has been a very intense domain of investigation in data analysis and NLP during the previous few years. Currently, the algorithms of the deep neural networks have been applied for opinion mining tasks with good results. Among vario
Externí odkaz:
https://doaj.org/article/6aa58cbada9546fcacc1a52a91e08583
Autor:
Fatima Es-Sabery, Abdellatif Hair, Junaid Qadir, Beatriz Sainz-De-Abajo, Begona Garcia-Zapirain, Isabel Torre-Diez
Publikováno v:
IEEE Access, Vol 9, Pp 17943-17985 (2021)
At present, with the growing number of Web 2.0 platforms such as Instagram, Facebook, and Twitter, users honestly communicate their opinions and ideas about events, services, and products. Owing to this rise in the number of social platforms and thei
Externí odkaz:
https://doaj.org/article/9aa6fd86dd734647b01239f212e93c59
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:
Egyptian Informatics Journal, Vol 18, Iss 1, Pp 45-54 (2017)
In Wireless Sensor Networks (WSNs), the network’s performance is usually influenced by energy constraint. Through a well-designed clustering algorithm, WSN’s energy consumption can be decreased evidently. In this paper, an Improved Multi-Objectiv
Externí odkaz:
https://doaj.org/article/600f46f07a614b21bc770dc657aa1991
Autor:
Abdellatif Hair
Publikováno v:
Journal of Information and Organizational Sciences, Vol 29, Iss 2 (2012)
The viewpoint-oriented modeling consists in providing an unique modelaccessible by users with various access rights according to their needs. The system isrepresented as sub-systems (called sub-models). This cutting makes the design of systemeasier b
Externí odkaz:
https://doaj.org/article/cf859d325f6d495bb28efccbe9b21ce2
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
Autor:
Junaid Qadir, Isabel de la Torre-Díez, Beatriz Sainz-De-Abajo, Abdellatif Hair, Fatima Es-sabery, Begona Garcia-Zapirain
Publikováno v:
IEEE Access, Vol 9, Pp 17943-17985 (2021)
At present, with the growing number of Web 2.0 platforms such as Instagram, Facebook, and Twitter, users honestly communicate their opinions and ideas about events, services, and products. Owing to this rise in the number of social platforms and thei
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
Autor:
Abdellatif Hair, Fatima Es-sabery
Publikováno v:
Fuzzy Information and Engineering. 11:446-473
Decision tree is the most efficient and fast technology of data mining that is frequently used in data analysis and prediction. According to the development in science and technology in the last ye...
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