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Semantics Analysis of Agricultural Experts' Opinions for Crop Productivity through Machine Learning

Semantics Analysis of Agricultural Experts' Opinions for Crop Productivity through Machine Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_08839514_2021_2012055

Semantics Analysis of Agricultural Experts' Opinions for Crop Productivity through Machine Learning

About this item

Full title

Semantics Analysis of Agricultural Experts' Opinions for Crop Productivity through Machine Learning

Publisher

Philadelphia: Taylor & Francis

Journal title

Applied artificial intelligence, 2022-12, Vol.36 (1)

Language

English

Formats

Publication information

Publisher

Philadelphia: Taylor & Francis

More information

Scope and Contents

Contents

Semantic analysis is a particular technique, which is an interesting area of research that associates with Natural Language Processing (NLP), artificial intelligence, opinion mining, text clustering, and classification. Numerous text processing techniques are being used to find out sentiments from the comments, such as social media tweets, hoax, fi...

Alternative Titles

Full title

Semantics Analysis of Agricultural Experts' Opinions for Crop Productivity through Machine Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1080_08839514_2021_2012055

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_08839514_2021_2012055

Other Identifiers

ISSN

0883-9514

E-ISSN

1087-6545

DOI

10.1080/08839514.2021.2012055

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