Zobrazeno 1 - 10
of 249
pro vyhledávání: '"Nazlia Omar"'
Publikováno v:
IEEE Access, Vol 12, Pp 136330-136353 (2024)
Named Entity Recognition (NER) in social media has received much research attention in the field of natural language processing (NLP) and information extraction. Research on this topic has grown dramatically in recent years. Hence, one of the objecti
Externí odkaz:
https://doaj.org/article/4b3a02a813d74b80b40a2436afdc5715
Publikováno v:
IEEE Access, Vol 12, Pp 100689-100699 (2024)
Target Aspect Sentiment Detection (TASD) is challenging because it involves various Natural Language Processing (NLP) subtasks including opinion target detection and sentiment polarity classification. Despite significant advancements in this area, mo
Externí odkaz:
https://doaj.org/article/918ef452e9e541f3899f5e5521cfa311
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 12, Iss 1 (2024)
The detection of adverse drug reactions (ADRs) is an important piece of information for determining a patient’s view of a single drug. This study attempts to consider and discuss this feature of drug reviews in medical opinion-mining systems. This
Externí odkaz:
https://doaj.org/article/642321d2c71043bebc6ffe4b8c3224ca
Publikováno v:
PeerJ Computer Science, Vol 10, p e2022 (2024)
Our study focuses on Traditional Chinese Medical (TCM) named entity recognition (NER), which involves identifying and extracting specific entity names from TCM record. This task has significant implications for doctors and researchers, as it enables
Externí odkaz:
https://doaj.org/article/f200e26e8e684e208347f30aeda480c1
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 12, Iss 1 (2024)
The detection of adverse drug reactions (ADRs) plays a necessary role in comprehending the safety and benefit profiles of medicines. Although spontaneous reporting stays the standard approach for ADR documents, it suffers from significant under repor
Externí odkaz:
https://doaj.org/article/ea348c868f7d40d5bb1a1275c153ea97
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/c726d845f8e544a9ab5868a09522da8e
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:
Baghdad Science Journal, Vol 21, Iss 1 (2024)
Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user report
Externí odkaz:
https://doaj.org/article/91e6061b0e854e51875cf0e62dece183
Publikováno v:
IEEE Access, Vol 11, Pp 16226-16249 (2023)
Hate speech detection has substantially increased interest among researchers in the domain of natural language processing (NLP) and text mining. The number of studies on this topic has been growing dramatically. Thus, the purpose of this analysis is
Externí odkaz:
https://doaj.org/article/06891b801baf43fbb2857161fb974be6
Publikováno v:
International Journal of Information Science and Management, Vol 20, Iss 4, Pp 87-102 (2022)
Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these factors, foreig
Externí odkaz:
https://doaj.org/article/00ff681fd28543b7bf6488e014ad47fb