Log in to save to my catalogue

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3000418801

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

About this item

Full title

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Aspect-Based Sentiment Analysis (ABSA) aims to identify terms or multiword expressions (MWEs) on which sentiments are expressed and the sentiment polarities associated with them. The development of supervised models has been at the forefront of research in this area. However, training these models requires the availability of manually annotated dat...

Alternative Titles

Full title

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3000418801

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3000418801

Other Identifiers

E-ISSN

2331-8422

How to access this item