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Output details

11 - Computer Science and Informatics

University of Liverpool

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Output 25 of 94 in the submission
Article title

Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus

Type
D - Journal article
Title of journal
IEEE Transactions on Knowledge and Data Engineering
Article number
-
Volume number
25
Issue number
8
First page of article
1719
ISSN of journal
1041-4347
Year of publication
2013
URL
-
Number of additional authors
2
Additional information

<17>This paper is based on "Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification", ACL 2011. It presents an approach to perform cross-domain sentiment classification using multiple source domains. The cross-domain sentiment sensitive thesaurus that we created as well as the code for creating a thesaurus for a given domain are publicly available (http://cgi.csc.liv.ac.uk/~danushka/software.html).

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-