Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Eissa M. Alshari"'
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0299652 (2024)
As social media booms, abusive online practices such as hate speech have unfortunately increased as well. As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number t
Externí odkaz:
https://doaj.org/article/d80d484c4bc74ba195eab4cbd349c430
Publikováno v:
Neural Processing Letters.
Publikováno v:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems ISBN: 9783030859893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ce2087c117f4f083de53ee97808222e
https://doi.org/10.1007/978-3-030-85990-9_17
https://doi.org/10.1007/978-3-030-85990-9_17
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
Adverse Drug Reaction (ADR) extraction is the process of identifying drug implications mentioned in social posts. Handling medical text for the identification of ADR is vital to research in terms of configuring the side effect and other medical-relat
Autor:
Ismail Ahmed Al-Qasem Al-Hadi, Safwan M. Ghaleb, Mohammad Ahmed Alomari, Eissa M. Alshari, Waheed Ali H. M. Ghanem
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
Collaborative Filtering (CF) is a widely used technique in recommendation systems. It provides personal recommendations for users based on their preferences. However, this technique suffers from the sparsity issue which occurs due to a high proportio
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811500572
Assessing essays in online and open learning environment can be problematic as the number of submission increases with the increase of enrolment. A tool to automatically analyse those essays is required to assist instructor in the assessment process.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87caa489e00c85ac9b009b4290714e28
https://doi.org/10.1007/978-981-15-0058-9_61
https://doi.org/10.1007/978-981-15-0058-9_61
Publikováno v:
2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP).
Recently, many researchers have shown interest in using lexical dictionary for sentiment analysis. The SentiWordNet is the most used sentiment lexical to determine the polarity of texts. However, there are huge number of terms in the corpus vocabular
Autor:
Muhamad Taufik Abdullah, Rabiah Abdul Kadir, Eissa M. Alshari, Azreen Azman, Mostafa Alksher, Puteri Suhaiza Sulaiman
Publikováno v:
2017 Asia Modelling Symposium (AMS).
More consumers depend on online recommendation for products before making purchase decision. Comments or ratings given by other online users are used as recommendation and help consumers to make informed decision. Giving rating is a more convenient w
Publikováno v:
DEXA Workshops
Recently, many researchers have shown interest in using Word2Vec as the features for text classification tasks such as sentiment analysis. Its ability to model high quality distributional semantics among words has contributed to its success in many o
Autor:
Eissa M. Alshari, Mostafa Alksher, Abdulmajid Hissen Mohamed, Rabiah Abdul Kadir, Razali Yaakob, Azreen Azman
Publikováno v:
2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP).
Idea mining is a new and interesting field in the areas of information retrieval research. The thoughts of people are helpful to improve strategic decision making. This paper demonstrates the efficient computational methods of idea characterization b