eprintid: 1527
rev_number: 9
eprint_status: archive
userid: 243
dir: disk0/00/00/15/27
datestamp: 2016-05-23 05:59:03
lastmod: 2016-05-23 05:59:46
status_changed: 2016-05-23 05:59:03
type: conference_item
metadata_visibility: show
creators_name: Luong, Thai Le
creators_name: Trang, Thi Hanh
creators_name: Truong, Quoc Tuan
creators_name: Truong, Thi Minh Ngoc
creators_name: Phi, Thi Thu
creators_name: Phan, Xuan Hieu
creators_id: hieupx@vnu.edu.vn
title: Learning to Filter User Explicit Intents in Online Vietnamese Social Media Texts
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Today, Internet users are much more willing to express them- selves on online social media channels. They commonly share their daily activities, their thoughts or feelings, and even their intention (e.g., buy a camera, rent an apartment, borrow a loan, etc.) about what they plan to do on blogs, forums, and especially online social networks. Understand- ing intents of online users, therefore, has become a crucial need for many enterprises operating in different business areas like production, banking, retail, e–commerce, and online advertising. In this paper, we will present a machine learning approach to analyze users’ posts and comments on online social media to filter posts or comments containing user plans or intents. Fully understanding user intent in social media texts is a compli- cated process including three major stages: user intent filtering, intent domain identification, and intent parsing and extraction. In the scope of this study, we will propose a solution to the first one, that is, building a binary classification model to determine whether a post or comment carries an intent or not. We carefully conducted an empirical evaluation for our model on a medium–sized collection of posts in Vietnamese and achieved promising results with an average accuracy of more than 90%.
Keywords: Intention mining, user intent identification, social media text understanding, content filtering, text classification
date: 2016-03-26
date_type: published
full_text_status: public
pres_type: poster
event_title: SW4PHD: the 2016 Scientific Workshop for PhD Students
event_location: Hanoi
event_dates: 26 March 2016
event_type: workshop
refereed: FALSE
citation:   Luong, Thai Le and Trang, Thi Hanh and Truong, Quoc Tuan and Truong, Thi Minh Ngoc and Phi, Thi Thu and Phan, Xuan Hieu  (2016) Learning to Filter User Explicit Intents in Online Vietnamese Social Media Texts.  In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1527/1/Poster.pdf