Emotion Recognition for Vietnamese Social Media Text
Emotion recognition is a higher approach or special case of sentiment analysis. In this task, the result is not produced in terms of either polarity: positive or negative or in the form of rating (from 1 to 5) but of a more detailed level of sentiment analysis in which the result are depicted in more expressions like sadness, enjoyment, anger, disgust, fear and surprise. Emotion recognition plays a critical role in measuring brand value of a product by recognizing specific emotions of customers’ comments. In this study, we have achieved two targets. First and foremost, we built a standard Vietnamese Social Media Emotion Corpus (UIT-VSMEC) with about 6,927 human-annotated sentences with six emotion labels, contributing to emotion recognition research in Vietnamese which is a low-resource language in Natural Language Processing (NLP).
https://sites.google.com/uit.edu.vn/uit-nlp/datasets-projects#h.fs21gpd5w6p1
Univeristy of Information Technology, VNH-HCM
A university or research institution
Vietnam
Vong Anh Ho
vund@uit.edu.vn
Yes - it has a direct download link or links
https://drive.google.com/open?id=1HooABJyrddVGzll7fgkJ6VzkG_XuWfRu
Unclear