eprintid: 4180
rev_number: 11
eprint_status: archive
userid: 307
dir: disk0/00/00/41/80
datestamp: 2020-12-08 09:17:24
lastmod: 2020-12-08 09:17:24
status_changed: 2020-12-08 09:17:24
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Thi Cham
creators_name: Pham, Thi Ngan
creators_name: Le, Hoang Quynh
creators_name: Nguyen, Tri Thanh
creators_name: Bui, Hong Nhung
creators_name: Ha, Quang Thuy
creators_id: nthicham@hpmu.edu.vn
creators_id: ptngan2012@gmail.com
creators_id: lhquynh@gmail.com
creators_id: ntthanh@vnu.edu.vn
creators_id: nhungbth@hvnh.edu.vn
creators_id: thuyhq@vnu.edu.vn
corp_creators: Trường Đại học Công nghệ, ĐHQGHN
corp_creators: Trường Đại học Y Dược Hải Phòng
title: A Targeted Topic Model based Multi-Label 
Deep Learning Classification Framework 
for Aspect-based Opinion Mining
ispublished: pub
subjects: isi_scopus_conf
divisions: fac_fit
abstract: Recently, deep Convolutional Neural Network (CNN) model has achieved remarkable results in Natural Language Processing (NLP) tasks, such as information retrieval, relation classification, semantic parsing, sentence modeling and other traditional NLP tasks, etc. On the other hand, topic modeling method has been proved to be effective by exploiting hidden knowledge in a corpus of documents. Motivated from these successes, we propose a framework that takes advantages of closure domain measure to get enriched knowledge from close domains to the dataset of the current task to improve the CNN model, and apply a Targeted Topic Model to take more detailed exploration on each labeled aspect of an opinion. Experimental results on different scenarios show the effectiveness of the proposed framework for multi-label classification task in comparison to other related models on the same Hotel review dataset.
date: 2020-11-12
date_type: published
official_url: https://kse-conference.org/
full_text_status: public
pres_type: paper
event_title: The 12th IEEE International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING ( KSE 2020)
event_location: Cần Thơ, Việt Nam
event_dates: November 12-14, 2020
event_type: conference
refereed: FALSE
related_url_url: https://kse-conference.org/index.php/program
citation:   Nguyen, Thi Cham and Pham, Thi Ngan and Le, Hoang Quynh and Nguyen, Tri Thanh and Bui, Hong Nhung and Ha, Quang Thuy  (2020) A Targeted Topic Model based Multi-Label Deep Learning Classification Framework for Aspect-based Opinion Mining.  In: The 12th IEEE International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING ( KSE 2020), November 12-14, 2020, Cần Thơ, Việt Nam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4180/2/KSE.pdf