eprintid: 2257
rev_number: 10
eprint_status: archive
userid: 339
dir: disk0/00/00/22/57
datestamp: 2016-12-16 05:13:10
lastmod: 2016-12-16 05:13:10
status_changed: 2016-12-16 05:13:10
type: book_section
metadata_visibility: show
creators_name: Duong, Tran Duc
creators_name: Pham, Bao Son
creators_name: Tan, Hanh
creators_id: sonpb@vnu.edu.vn
title: Using Content-Based Features for Author Profiling of Vietnamese Forum Posts
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: This paper reports the results of author profiling task for Vietnamese forum posts to identify the personal traits, such as gender, age, occupation, and location of the author using content-based features. Experiments were conducted on the different types of features, including stylometric features (such as lexical, syntactic, structural features) as well as content-based features (the most important words) to compare the performance and on the data sets we collected from the various forums in Vietnamese. Three learning methods, consisting of Decision Tree, Bayes Network, Support Vector Machine (SVM), were tested and the SVM achieved the best results. 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 yielded much better results than stylometric features.
date: 2016-02-27
date_type: published
publisher: Springer International Publishing
official_url: http://dx.doi.org/10.1007/978-3-319-31277-4_25
full_text_status: none
publication: Recent Developments in Intelligent Information and Database Systems
volume: 642
pagerange: 287-296
refereed: TRUE
book_title: Recent Developments in Intelligent Information and Database Systems
citation:   Duong, Tran Duc and Pham, Bao Son and Tan, Hanh  (2016) Using Content-Based Features for Author Profiling of Vietnamese Forum Posts.   In:  Recent Developments in Intelligent Information and Database Systems.   Springer International Publishing, pp. 287-296.