In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

As language models grow ever larger, the need for large-scale high-quality text datasets has
never been more pressing, especially in multilingual settings. The BigScience workshop, a 1 …

En los últimos años, técnicas de Inteligencia Artificial (IA) como el aprendizaje automático o
Machine Learning (ML) y el Aprendizaje profundo o Deep Learning (DL), han impactado de …

Emotion recognition or emotion prediction is a higher approach or a special case of
sentiment analysis. In this task, the result is not produced in terms of either polarity: positive …

The rapid development of Large Language Models (LLMs) and the emergence of novel
abilities with scale have necessitated the construction of holistic, diverse and challenging …

Student's feedback is an important source of collecting students' opinions to improve quality
of training activities. Implementing sentiment analysis into student feedback data, we can …

Machine reading comprehension is a natural language understanding task where the
computing system is required to read a text and then find the answer to a specific question …

The rise of social media has led to the increasing of comments on online forums. However,
there still exists invalid comments which are not informative for users. Moreover, those …

Although Vietnamese is the 17 th most popular native-speaker language in the world, there
are not many research studies on Vietnamese machine reading comprehension (MRC), the …

In this paper, we present a process of building a social listening system based on aspect-
based sentiment analysis in Vietnamese, from creating a dataset to building a real …