Article
Advancing Sentiment Analysis in Gujarati: Performance Enhancement through a Hybrid Annotation Framework
2026-01-06
Abstract excerpt
<title>Abstract</title> <p>Sentiment analysis in low-resource languages such as Gujarati faces considerable difficulties because of the absence of extensive, annotated datasets and restricted linguistic resources. Unlike prior Gujarati sentiment studies limited to small datasets or rule-based methods, we propose an innovative hybrid annotation framework that integrates rule-based lexicon methods with semi-supervi...
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Identifiers and source
- Literature Corpus work
- 814877a5-e072-5d82-a8b5-38ebb3857df7
- DOI
- 10.21203/rs.3.rs-7290249/v1
