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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	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
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2025-07-01
سلاسل:	Scientific Reports
الموضوعات:	Sentiment classification Natural Language processing Telugu Language Transformed based models XLM-RoBERTa
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-025-05703-9
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!