Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Heng-Yang Lu"'
Publikováno v:
IEEE Access, Vol 9, Pp 14918-14932 (2021)
The topic model has been widely applied to various research domains such as information retrieval, data mining, and so on. It can discover topics of texts in an unsupervised way. In the early years, most researches mainly focused on long texts. With
Externí odkaz:
https://doaj.org/article/3c4a6147e0de4eda87b46f0bf350a212
Publikováno v:
PeerJ Computer Science, Vol 7, p e816 (2021)
Background Fine-grained sentiment analysis is used to interpret consumers’ sentiments, from their written comments, towards specific entities on specific aspects. Previous researchers have introduced three main tasks in this field (ABSA, TABSA, MEA
Externí odkaz:
https://doaj.org/article/025e2262ee47447b963ad8a14db323a9
Publikováno v:
PeerJ Computer Science, Vol 7, p e688 (2021)
Background Rumor detection is a popular research topic in natural language processing and data mining. Since the outbreak of COVID-19, related rumors have been widely posted and spread on online social media, which have seriously affected people’s
Externí odkaz:
https://doaj.org/article/351e4fbf699a44fb831455f6f5b2d516
Publikováno v:
Data Technologies and Applications. 56:806-824
PurposeThe COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the related rumors. Nowadays, online social media are quite popular, where b
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing.
Chinese is a representative East Asian Language. Chinese Named Entity Recognition (CNER) aims to recognize various entities. It is significant for other NLP tasks to utilize CNER. Recent research to develop CNER systems has been dedicated to either c
Publikováno v:
Data Technologies and Applications. 55:643-660
PurposeTopic model has been widely applied to discover important information from a vast amount of unstructured data. Traditional long-text topic models such as Latent Dirichlet Allocation may suffer from the sparsity problem when dealing with short
Publikováno v:
IEEE Access, Vol 9, Pp 14918-14932 (2021)
The topic model has been widely applied to various research domains such as information retrieval, data mining, and so on. It can discover topics of texts in an unsupervised way. In the early years, most researches mainly focused on long texts. With
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031208645
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ecf513d7dc7a2eff944e424e2156490
https://doi.org/10.1007/978-3-031-20865-2_24
https://doi.org/10.1007/978-3-031-20865-2_24
Publikováno v:
Computers, Materials & Continua. 64:1453-1471
Starting from late 2019, the new coronavirus disease (COVID-19) has become a global crisis With the development of online social media, people prefer to express their opinions and discuss the latest news online We have witnessed the positive influenc
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 18:1-22
Fine-grained sentiment analysis is a useful tool for producers to understand consumers’ needs as well as complaints about products and related aspects from online platforms. In this article, we define a novel task named “Multi-Entity Aspect-Based