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 student comments from university forums, and benchmarks it using BERT-based multitask learning models. The dataset focuses on understanding student opinions in Vietnamese higher education contexts through 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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