no code implementations • 22 Jun 2018 • Khuong Vo, Dang Pham, Mao Nguyen, Trung Mai, Tho Quan
In particular, when analyzing the applications of deep learning in sentiment analysis, we found that the current approaches are suffering from the following drawbacks: (i) the existing works have not paid much attention to the importance of different types of sentiment terms, which is an important concept in this area; and (ii) the loss function currently employed does not well reflect the degree of error of sentiment misclassification.
no code implementations • 16 Feb 2019 • Khuong Vo, Tri Nguyen, Dang Pham, Mao Nguyen, Minh Truong, Trung Mai, Tho Quan
However, when applied with real data obtained from social media, we notice that there is a high volume of short and informal messages posted by users on those channels.
1 code implementation • 1 May 2019 • Trung Trinh, Tho Quan, Trung Mai
The objective of our research is to create a topic model that can achieve great performances on microtexts while requiring a small runtime for scalability to large datasets.