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Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM

Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2806270582

Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM

About this item

Full title

Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM

Publisher

New York: Springer US

Journal title

Journal of intelligent manufacturing, 2023-06, Vol.34 (5), p.2123-2132

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Sentiment lexicon is a reliable resource in computing sentiment classification. However, a general purpose lexicon alone is not sufficient, since text sentiment classification is perceived as a context-dependent task in the literature. On the contrary, we observe that many people tend to imitate others while writing reviews. As such, the subject of...

Alternative Titles

Full title

Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2806270582

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2806270582

Other Identifiers

ISSN

0956-5515

E-ISSN

1572-8145

DOI

10.1007/s10845-021-01866-0

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