SentATN: learning sentence transferable embeddings for cross-domain sentiment classification
SentATN: learning sentence transferable embeddings for cross-domain sentiment classification
About this item
Full title
Author / Creator
Dai, Kuai , Li, Xutao , Huang, Xu and Ye, Yunming
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Cross-domain Sentiment Classification (CDSC) aims to exploit useful knowledge from the source domain to obtain a high-performance classifier on the target domain. Most of the existing methods for CDSC mainly concentrate on extracting domain-shared features, while ignoring the importance of domain-specific features. Besides, these approaches focus o...
Alternative Titles
Full title
SentATN: learning sentence transferable embeddings for cross-domain sentiment classification
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2737807226
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2737807226
Other Identifiers
ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-022-03434-2
