Twenty Years of Machine-Learning-Based Text Classification: A Systematic Review
Twenty Years of Machine-Learning-Based Text Classification: A Systematic Review
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely used machine-learning-based research differs in terms of the datasets, training methods, perfor...
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Twenty Years of Machine-Learning-Based Text Classification: A Systematic Review
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TN_cdi_doaj_primary_oai_doaj_org_article_16f42e4756144ffbad99e10d2686a9fa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_16f42e4756144ffbad99e10d2686a9fa
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ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a16050236
