Sentiment classification for telugu using transformed based approaches on a multi-domain dataset

Abstract Sentiment analysis is an essential component of Natural Language Processing (NLP) in resource-abundant languages such as English. Nevertheless, poor-resource languages such as Telugu have experienced limited efforts owing to multiple considerations, such as a scarcity of corpora for trainin...

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Hlavní autoři:	Kannaiah Chattu, K. Adi Narayana Reddy, Sai babu veesam, Pardha Saradhi Chirumamilla, Vunnava Dinesh Babu, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-07-01
Edice:	Scientific Reports
Témata:	Sentiment classification Natural Language processing Telugu Language Transformed based models XLM-RoBERTa
On-line přístup:	https://doi.org/10.1038/s41598-025-05703-9
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