Zobrazeno 1 - 5
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pro vyhledávání: '"Rasim Cekik"'
Autor:
Rasim Cekik
Publikováno v:
IEEE Access, Vol 12, Pp 139316-139335 (2024)
Massively amounts of text data have been created on the Internet due to the widespread use of platforms like social media. Text classification is one of the most frequently used techniques for extracting useful information from text data. One of the
Externí odkaz:
https://doaj.org/article/28ec491671184eb39f85343dd0de2839
Autor:
Rasim Çekik
Publikováno v:
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Vol 32, Iss 2, Pp 1363-1375 (2024)
The COVID-19 pandemic has not only caused loss of life but also significantly affected people's emotional state. These emotional impacts have had serious consequences on societies and economies around the world. In order to repair these devastations
Externí odkaz:
https://doaj.org/article/180c314091dd4ceaa7699e276e7ff84f
Autor:
Rasim Çekik, Mahmut Kaya
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 7, Pp 978-1005 (2024)
High dimensionality and sparsity are the primary issues in text classification. Using feature selection approaches, the most effective way to solve the problem is to select a subset of features. The most common and effective methods used for this pro
Externí odkaz:
https://doaj.org/article/0cea63073edf49c995473c65b8cc500e
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:907-917
Recommender systems have recently become a significant part of e-commerce applications. Through the different types of recommender systems, collaborative filtering is the most popular and successful recommender system for providing recommendations. R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78e6e05262459d76be89bbb79045e0c7
https://doi.org/10.3233/jifs-201073
https://doi.org/10.3233/jifs-201073
Autor:
Rasim Cekik, Alper Kursat Uysal
Publikováno v:
Expert Systems with Applications. 160:113691
High dimensionality problem is an important concern for short text classification due to its effect on computational cost and accuracy of classifiers. Also, short text data, besides being high dimensional, has an incomplete, inconsistent and sparse s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a955aea8748a05d485997230a49998
https://doi.org/10.1016/j.eswa.2020.113691
https://doi.org/10.1016/j.eswa.2020.113691