Improving sentiment analysis efficacy through feature synchronization
Improving sentiment analysis efficacy through feature synchronization
About this item
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Publisher
New York: Springer US
Journal title
Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Social media platforms are becoming a rich source of valuable information through sharing and publishing user generated reviews and comments. The identification and extraction of subjective information from a piece of text is a crucial challenge in sentiment analysis. Numerous techniques have been proposed that aimed to analyze the sentiments of th...
Alternative Titles
Full title
Improving sentiment analysis efficacy through feature synchronization
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TN_cdi_proquest_journals_2517675380
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2517675380
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-020-10383-w
