Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Raghad Alshalan"'
Autor:
Raghad Alshalan, Hend Al-Khalifa
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8614 (2020)
With the rise of hate speech phenomena in the Twittersphere, significant research efforts have been undertaken in order to provide automatic solutions for detecting hate speech, varying from simple machine learning models to more complex deep neural
Externí odkaz:
https://doaj.org/article/d2a464200bdc452a88955dcce6dca5a6
Autor:
Duaa AlSaeed, Hend Alkhalifa, Hind Alotaibi, Raghad Alshalan, Nourah Al-Mutlaq, Shahad Alshalan, Hind Taleb Bintaleb, Areej Mansour AlSahow
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7528 (2020)
The Saudi government pays great attention to the usability and accessibility issues of e-government systems. E-government educational systems, such as Noor, Faris, and iEN systems, are some of the most rapidly developing e-government systems. In this
Externí odkaz:
https://doaj.org/article/fc858aa9174a40099ad08aba277e462b
Autor:
Jumanah M. Alruwaili, Raghad Alshalan, Shrouq A. Alanazi, Taghreed A. Alruwaili, Doaa M. Abdel-Salam, Alshimaa M. Mohamed Lotfy
Publikováno v:
The Open Public Health Journal. 13:783-790
Background:Dietary supplement use received wide attention and interest throughout the world, particularly in Gulf countries, because of advanced economic and industrial growth.Objective:The present study aimed to determine the prevalence and correlat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38fae6069054bb8de9ff7927ed8caf4c
https://doi.org/10.2174/1874944502013010783
https://doi.org/10.2174/1874944502013010783
BACKGROUND The massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content. Most previous literature has cast the hate speech det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e3e9c88a756866faaae16673a8354ee
https://doi.org/10.2196/preprints.22609
https://doi.org/10.2196/preprints.22609
Publikováno v:
Information Retrieval Technology ISBN: 9783030428341
AIRS
AIRS
Query expansion (QE) using pseudo relevance feedback (PRF) is one of the approaches that has been shown to be effective for improving microblog retrieval. In this paper, we investigate the performance of three different embedding-based methods on Ara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b20eabc2b4cbff2435141ad6d4f26b62
https://doi.org/10.1007/978-3-030-42835-8_16
https://doi.org/10.1007/978-3-030-42835-8_16
Autor:
Raghad Alshalan, Nada Almanea, Nafla Alrumayyan, Shahad Alshalan, Dalal Alqusair, Nora Al-Twairesh, Waad Bin Huwaymil, Al-Hanouf Al-Aljmi, Nourah Al-Mutlaq, Suha Al-Senaydi, Nada Almugren, Rawan N. Al-Matham, Abeer Alfutamani, Sumayah Bawazeer, Reem Alotaibi, Shams Al-Manea, Nora Madi
Publikováno v:
ACLING
This paper presents the preliminary results of the construction of a morphologically annotated corpus for the Saudi dialect. We call the corpus SUAR (SaUdi corpus for NLP Applications and Resources). The corpus consists of around 104,079 words collec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a222a89452fd2d8d6d670bef2bfca99
https://doi.org/10.1016/j.procs.2018.10.462
https://doi.org/10.1016/j.procs.2018.10.462