Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Riyad Al-Shalabi"'
Publikováno v:
Cluster Computing. 26:1285-1296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bb0a6b152f000b72ecb1ea849a9282c
https://doi.org/10.1007/s10586-022-03626-y
https://doi.org/10.1007/s10586-022-03626-y
Autor:
Aidel Kadum Jassim AL-Shamary, Qahtan M. Yas, Aymen Mudheher Badr, Riyad Al Shalabi, Saeed Hameed Aldulaimi
Publikováno v:
2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ee1ccc603a5b7c228926c189587da4
https://doi.org/10.1109/icetsis55481.2022.9888862
https://doi.org/10.1109/icetsis55481.2022.9888862
Publikováno v:
2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63414198ae9d76e0b22a99cbdbbf25e1
https://doi.org/10.1109/icetsis55481.2022.9888948
https://doi.org/10.1109/icetsis55481.2022.9888948
Autor:
Ghassan Kanaan, Tarek Kanan, Riyad Al-Shalabi, Shadi AlZu'bi, Amani AbedAlghafer, Mohammed Elbes
Publikováno v:
ICIT
Text categorization acquires more significance considering the plenty of text added continually on the web. The lack of huge and free Arabic datasets makes it more difficult to classify. This paper reviews some text classification papers with some co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::677c4dbdceb8a0f04764012bb71ee003
https://doi.org/10.1109/icit52682.2021.9491640
https://doi.org/10.1109/icit52682.2021.9491640
Publikováno v:
Journal of Information Security and Applications. 35:85-95
The Gender Identification (GI) problem is concerned with determining the gender of a given text’s author. It has a wide range of academic/commercial applications in various fields including literature, security, forensics, electronic markets and tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb8bb3171974092170bf63a6b047453
https://doi.org/10.1016/j.jisa.2017.06.003
https://doi.org/10.1016/j.jisa.2017.06.003
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
Sentiment Analysis (SA) is one of hottest fields in data mining (DM) and natural language processing (NLP). The goal of SA is to extract the sentiment conveyed in a certain text based on its content. While most current works focus on the simple probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49be1173d4a288bc32fd1a0e151262b0
https://doi.org/10.14569/ijacsa.2016.070269
https://doi.org/10.14569/ijacsa.2016.070269
Publikováno v:
Journal of the American Society for Information Science and Technology. 60:1836-1844
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69648316f63c8edb4292536fbfdef6a7
https://doi.org/10.1002/asi.20832
https://doi.org/10.1002/asi.20832
Publikováno v:
American Journal of Applied Sciences. 6:797-805
We depict the architecture of a question answering system and methodically evaluate contributions of different system components to accuracy. The system differs from most question answering systems in its dependency on data redundancy rather than com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c15c23c96a523aeca70ab6c4c2bca7
https://doi.org/10.3844/ajassp.2009.797.805
https://doi.org/10.3844/ajassp.2009.797.805
Publikováno v:
American Journal of Applied Sciences. 5:1433-1436
Much attention has been paid to the relative effectiveness of Interactive Query Expansion (IQE) versus Automatic Query Expansion (AQE). This research has been shown that automatic query expansion (collection dependent) strategy gives better performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91817cfd14d03bcb013f90f57c74c81e
https://doi.org/10.3844/ajassp.2008.1433.1436
https://doi.org/10.3844/ajassp.2008.1433.1436
Publikováno v:
AICCSA
The Gender Identification (GI) problem is concerned with determining the gender of the author of a given text based on its contents. The GI problem is one of the authorship profiling problems which have a wide range of applications in various fields
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d4cb0c89b1437e9479c14b43973a28
https://doi.org/10.1109/aiccsa.2015.7507196
https://doi.org/10.1109/aiccsa.2015.7507196