NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learning

This paper introduces NEU-ESC, a Vietnamese dataset for sentiment analysis and topic classification of university student forum comments, and benchmarks various BERT-based models on these tasks. The work focuses on social listening in higher education contexts using NLP techniques.

In the field of education, understanding students'opinions through their comments is crucial, especially in the Vietnamese language, where resources remain limited. Existing educational datasets often lack domain relevance and student slang. To address these gaps, we introduce NEU-ESC, a new Vietnamese dataset for Educational Sentiment Classification and Topic Classification, curated from university forums, which offers more samples, richer class diversity, longer texts, and broader vocabulary.

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