Author

S. Nahar

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#small language model Open access Sep 2026

An Empirical Benchmarking of Traditional Machine Learning and DistilBERT-Based Zero-Shot Hierarchical Sentiment Analysis on Large-Scale Twitter Data

A zero-shot classification pipeline that uses Natural Language Inference for classification of 1,000 tweets into a two-layer taxonomy of 30 parent topics and 330 subtopics has been created without any human-labeled samples.

Bhumit Peshavariya, S. Nahar · Informatica · 0 citations

Open access Jul 2026

Beyond Classification: A Multilingual mBERT Framework for Sentiment Analysis, Zero-Shot Categorization, and Severity Assessment on social media

The fine-tuned model is applied for sentiment analysis of tweets from the preprocessed TweetEval dataset, and it is shown that cross-language transfer learning without any preliminary training on multilingual sentiment datasets provides quite satisfactory performance.

S. Nahar, P. P. Agnihotri · International Journal of Sci... · 0 citations