Back to search

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...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
814877a5-e072-5d82-a8b5-38ebb3857df7
DOI
10.21203/rs.3.rs-7290249/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Advancing Sentiment Analysis in Gujarati: Performance Enhancement through a Hybrid Annotation FrameworkDOI 10.21203/rs.3.rs-7290249/v1
Select a neighboring publication to make it the new centre.