UIT-VLFC: Vietnamese Lipstick Feedbacks Corpus

Sentiment analysis for Vietnamese text can be applied in business fields such as sales, entertainment, advertisement, etc. Especially in the E-commerce era, thousands of products are sold online daily, followed by millions of users’ comments on the E-commerce platforms. For that reason, this research introduces the UIT-VLFC (UIT-Vietnamese Lipstick Feedbacks Corpus), a data set of users’ comments of lipstick products on E-commerce platforms. This aims to contribute a data set to the Vietnamese sentiment analysis field, even the sentiment-analysis recommendation system problem. The research also gives some experimental results on machine learning methods (Multinomial Naïve Bayes, Random forests, Logistic regression, Support vector machine (SVM)) and deep learning method (Bidirectional-Long short-term memory), etc. in order to assess the UIT-VLFC. The experimental results show that the UIT-VLFC has lots of implicit potentials that can be explored for many applications.