Zobrazeno 1 - 10
of 111
pro vyhledávání: '"San-Yih Hwang"'
Autor:
San-Yih Hwang, Chia-Hsuan Chang
Publikováno v:
Knowledge and Information Systems. 63:1529-1555
The cross-lingual topic analysis aims at extracting latent topics from corpora of different languages. Early approaches rely on high-cost multilingual resources (e.g., a parallel corpus), which is hard to come by in many real cases. Some works only r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d9a7aba5325bcf94e5f19d623c4d94
https://doi.org/10.1007/s10115-021-01555-7
https://doi.org/10.1007/s10115-021-01555-7
Publikováno v:
Proceedings of the Pacific Asia Conference on Information Systems (PACIS); 2023, p1-9, 9p
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783031126697
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c8eb90f9c9ec0604e2f882993430671
https://doi.org/10.1007/978-3-031-12670-3_1
https://doi.org/10.1007/978-3-031-12670-3_1
Publikováno v:
Proceedings of the Association for Information Science and Technology. 57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f82e26ed08ae7e8dd87a9ac11312f6
https://doi.org/10.1002/pra2.229
https://doi.org/10.1002/pra2.229
Publikováno v:
Business Innovation with New ICT in the Asia-Pacific: Case Studies ISBN: 9789811576577
Advantech is the world No. 1 industrial PC manufacturer and ranked No. 5 in the list of Best Taiwan Global Brands in 2018 (Interbrand 2018). While the sales of industrial PCs and various IoT sensing/communication devices still account for more than 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bccecf0b8ec5ea2623b10acc0894469
https://doi.org/10.1007/978-981-15-7658-4_6
https://doi.org/10.1007/978-981-15-7658-4_6
Publikováno v:
Online Information Review. 41:318-336
Purpose The information needs of the users of literature database systems often come from the task at hand, which is short term and can be represented as a small number of articles. Previous works on recommending articles to satisfy users’ short-te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52b1e0914686c8b2eab1efa0e7242aad
https://doi.org/10.1108/oir-06-2016-0166
https://doi.org/10.1108/oir-06-2016-0166
Publikováno v:
SOCA
Many IoT systems are data intensive and are for the purpose of monitoring of critical systems. In these monitoring systems, a large volume of data steadily flow out of a large number of sensors which monitor the physical systems and environments. Thu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2954678fb2faeb5995516f3e05e64051
https://doi.org/10.1109/soca.2019.00010
https://doi.org/10.1109/soca.2019.00010
Publikováno v:
BigData Congress
Lexicon-based sentiment analysis is a popular and practical approach for sentiment analysis. However, sentiment lexicons, which may be abundant in some language such as English, are scarce in many other languages. The cross-lingual lexicon learning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf5aeb14a2e9a8858ad23d54c3f857d2
https://doi.org/10.1109/bigdatacongress.2019.00030
https://doi.org/10.1109/bigdatacongress.2019.00030
Publikováno v:
Electronic Commerce Research and Applications. 47:101037
High-quality sentiment lexicons are the key to the success of lexicon-based sentiment analysis, because they allow the appropriate interpretation of the sentiment determination of unlabeled documents. However, most lexicons are general and available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cc60365345cd719be4f1f8a9837cde6
https://doi.org/10.1016/j.elerap.2021.101037
https://doi.org/10.1016/j.elerap.2021.101037
Publikováno v:
BigData Congress
In this paper, we address the cross-lingual topic modeling, which is an important technique that enables global enterprises to detect and compare topic trends across global markets. Previous works in cross-lingual topic modeling have proposed methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a097aa600e2e1242f066794eabd535f
https://doi.org/10.1109/bigdatacongress.2018.00010
https://doi.org/10.1109/bigdatacongress.2018.00010