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Analysis of customer reviews with an improved VADER lexicon classifier

Analysis of customer reviews with an improved VADER lexicon classifier

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bffc80e8016b4494b28abac9adb8eeb2

Analysis of customer reviews with an improved VADER lexicon classifier

About this item

Full title

Analysis of customer reviews with an improved VADER lexicon classifier

Author / Creator

Publisher

Cham: Springer International Publishing

Journal title

Journal of Big Data, 2024-12, Vol.11 (1), p.10-29, Article 10

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Background
The importance of customer reviews in determining satisfaction has significantly increased in the digital marketplace. Using sentiment analysis in customer reviews has immense potential but encounters challenges owing to domain heterogeneity. The sentiment orientation of words varies by domain; however, comprehending domain-specific s...

Alternative Titles

Full title

Analysis of customer reviews with an improved VADER lexicon classifier

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bffc80e8016b4494b28abac9adb8eeb2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bffc80e8016b4494b28abac9adb8eeb2

Other Identifiers

ISSN

2196-1115

E-ISSN

2196-1115

DOI

10.1186/s40537-023-00861-x

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