TY  - JOUR
ID  - SisLab2762
UR  - http://www.jcsce.vnu.edu.vn/index.php/jcsce/article/view/136
IS  - 1
A1  - Duong, Duc Tran
A1  - Pham, Son Bao
A1  - Tan, Hanh
Y1  - 2017/08//
N2  - In this paper, we investigate the author profiling task for Vietnamese forum posts to predict demographic attributes, such as gender, age, occupation, and location of the author. Although we conducted the experiments on different types of features, including style-based and content-based features, we focus more on analysis the effects of content-based features. We used machine learning approaches to perform classification tasks on datasets we collected from popular forums in Vietnamese. The results show that these kinds of features work well on such a kind of short and free style messages as forum posts, in which, content-based features achieved much better results than style-based features.
PB  - VNU
JF  - VNU Journal of Science: Computer Science and Communication Engineering
VL  - 33
SN  - 2588-1086
TI  - Author Profiling of Vietnamese Forum Posts - An Investigation on Content-based Features
AV  - public
ER  -