Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pree Thiengburanathum"'
Publikováno v:
IEEE Access, Vol 12, Pp 10586-10607 (2024)
Sentiment analysis is a task in natural language processing that focuses on identifying and categorizing emotions expressed in text. Despite the remarkable predictive performance achieved by deep learning models in this domain, their limited interpre
Externí odkaz:
https://doaj.org/article/b5937d324aa54b24bd632769f7dec334
Publikováno v:
IEEE Access, Vol 11, Pp 92822-92837 (2023)
Sentiment classification of social media posts is among the most challenging and time-consuming tasks for analysts. This is particularly true when applied to languages that employ scriptio continua, such as the Thai language, in which there are no sp
Externí odkaz:
https://doaj.org/article/bbd322786bb848ff9cbd7e86db869339
Autor:
Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan, Pattara Leelaprute, Pree Thiengburanathum, Passakorn Phannachitta
Publikováno v:
SN Computer Science. 4
Autor:
Suphatchaya Autarrom, Kittayaporn Chantaranimi, Chanwit Chanton, Anchan Chompupoung, Pichan Jinapook, Waranya Mahanan, Pathathai Na Lumpoon, Juggapong Natwichai, Nontakan Nuntachit, Nitchanan Prapaitrakul, Rattasit Sukhahuta, Prompong Sugunsil, Sumalee Sangamuang, Titipat Sukhvibul, Pree Thiengburanathum
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031143137
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fdf3346dd685d4bfd3bef82e1dceb69
https://doi.org/10.1007/978-3-031-14314-4_13
https://doi.org/10.1007/978-3-031-14314-4_13
Publikováno v:
SSRN Electronic Journal.
Autor:
Suphatchaya Autarrom, Kittayaporn Chantaranimi, Chanwit Chanton, Anchan Chompupoung, Pichan Jinapook, Waranya Mahanan, Pathathai Na Lumpoon, Juggapong Natwichai, Nontakan Nuntachit, Nitchanan Prapaitrakul, Rattasit Sukhahuta, Prompong Sugunsil, Sumalee Sangamuang, Titipat Sukhvibul, Pree Thiengburanathum
Publikováno v:
Advances in Intelligent Networking and Collaborative Systems ISBN: 9783031146268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e593036fcd2e6164216dc29ba496fbd
https://doi.org/10.1007/978-3-031-14627-5_17
https://doi.org/10.1007/978-3-031-14627-5_17
Autor:
Suphatchaya Autarrom, Kittayaporn Chantaranimi, Anchan Chompupoung, Pichan Jinapook, Waranya Mahanan, Pathathai Na Lumpoon, Juggapong Natwichai, Prompong Sugunsil, Sumalee Sangamuang, Titipat Sukhvibul, Pree Thiengburanathum
Publikováno v:
Advances in Internet, Data & Web Technologies ISBN: 9783030959029
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ba71ab350bb085690cd528e42002c3e
https://doi.org/10.1007/978-3-030-95903-6_1
https://doi.org/10.1007/978-3-030-95903-6_1
Publikováno v:
2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering.
An accurate real-time public transport prediction system occupies an important position in urban development. It includes the accurate prediction of the model and the real-time processing of the fitting data. This paper developed a bus arrival time p
Autor:
Desheng Yang, Pree Thiengburanathum
Publikováno v:
2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering.
This paper implemented the proposed framework. It focuses on evaluating the crawlers based on scalability and robustness on e-commerce websites. The scalability is a feature that the system can adapt to the amount of data continuing to increase, and
Publikováno v:
2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering.
There are numerous tweeter user accounts in Thailand and many toxic comments are being generated every day on this platform. Sentimental Analysis can be used as a tool to identify toxic comments. In this study, two feature extraction techniques, incl