Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Halizah Basiron"'
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 8, Iss 3, Pp 349-361 (2022)
Supervised sentiment analysis ideally uses a fully labeled data set for modeling. However, this ideal condition requires a struggle in the label annotation process. Semi-supervised learning (SSL) has emerged as a promising method to avoid time-consum
Externí odkaz:
https://doaj.org/article/1ebdd9dc464b4cd7821679680f28fd11
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 1, Pp 12-25 (2021)
A cross-domain sentiment analysis (CDSA) study in the Indonesian language and tree-based ensemble machine learning is quite interesting. CDSA is useful to support the labeling process of cross-domain sentiment and reduce any dependence on the experts
Externí odkaz:
https://doaj.org/article/7b56bd950d3849aa96a0b91daf5224d6
Autor:
Wan Muhammad Fikri Wan Badrulzaman, Aiman Iskandar Mohd Zaidi, Muhammad Azri Azmi, Halizah Basiron, Mohd Juzaila Abd Latif, Afiqah Iylia Kamaruddin
Publikováno v:
2021 IEEE 11th International Conference on System Engineering and Technology (ICSET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9316167e552713d121cc6e46bdfb0ba9
https://doi.org/10.1109/icset53708.2021.9612432
https://doi.org/10.1109/icset53708.2021.9612432
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 1, Pp 12-25 (2021)
A cross-domain sentiment analysis (CDSA) study in the Indonesian language and tree-based ensemble machine learning is quite interesting. CDSA is useful to support the labeling process of cross-domain sentiment and reduce any dependence on the experts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95274b950d4252426053702f353b2465
https://doi.org/10.26555/ijain.v7i1.554
https://doi.org/10.26555/ijain.v7i1.554
Publikováno v:
Journal of Computer Science. 12:582-596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ea9a3c08a6bae2892599ea3a68b746
https://doi.org/10.3844/jcssp.2016.582.596
https://doi.org/10.3844/jcssp.2016.582.596
Publikováno v:
Journal of Computer Science. 12:178-190
It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document to represent document summary. In this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9b17af6f7f88701698fd7545eec3d51
https://doi.org/10.3844/jcssp.2016.178.190
https://doi.org/10.3844/jcssp.2016.178.190
Publikováno v:
Journal of Physics: Conference Series. 1501:012021
This research has produced categorization of political fanaticism on social media. The results of this study divide political fanaticism into 4 categories: positive, neutral, negative and very negative. The background of the research is that currentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6f69e74110fa611adba8dc90bc57483
https://doi.org/10.1088/1742-6596/1501/1/012021
https://doi.org/10.1088/1742-6596/1501/1/012021
Publikováno v:
International Journal of Advanced Computer Science and Applications. 9
Named Entity Recognition (NER) is one of the tasks in the information extraction. NER is used for extracting and classifying words or entities that belong to the proper noun category in text data such as person's name, location, organization, date an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a403f172d20bcb820e65ef80d4886b
https://doi.org/10.14569/ijacsa.2018.090960
https://doi.org/10.14569/ijacsa.2018.090960
Publikováno v:
2017 5th International Conference on Information and Communication Technology (ICoIC7).
Currently, unstructured textual data analysis has attracted researchers' interest because it offers valuable information into many fields such as business, education, political, healthcare, crime prevention and other. Various sources are accessible t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d73ae644e0dd01ac9857d51a6bc95f84
https://doi.org/10.1109/icoict.2017.8074647
https://doi.org/10.1109/icoict.2017.8074647
Publikováno v:
Advanced Science Letters. 20:2180-2183
Accommodating learning styles in adaptive educational hypermedia systems (AEHS) improves students' learning performance in web-based learning. Hence, in implementing the systems, the students' learning style identification process is important. Most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc00ca1c2123205c955a811772cf7c9b
https://doi.org/10.1166/asl.2014.5660
https://doi.org/10.1166/asl.2014.5660