research-article

On the Identification of Suggestion Intents from Vietnamese Conversational Texts

Authors:

Khac Linh Pham,

Hideaki Takeda,

Xuan Hieu PhanAuthors Info & Claims

SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology

Pages 417 - 424

https://doi.org/10.1145/3155133.3155201

Published: 07 December 2017 Publication History

Abstract

Fully understanding suggestion intents in conversational texts is a complicated process that includes three major stages: user suggestion intents filtering, suggestion domain identification, and arguments extraction of suggestion intents. In the scope of this paper, we study the first phase, that is, building a binary classification model to determine whether a text unit carries suggestion intents or not. We come up with a new text unit to analysis suggestion based on functional segment in the ISO 24617-2 standard. We investigate two approaches to filter functional segments containing suggestion intents: machine learning using maximum entropy model and deep learning using convolutional neural networks model. The results of these experiments on Vietnamese online media texts are very promising. To the best of our knowledge, this is the first study to analyze suggestion at functional segment level.

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Cited By

Rashid AFarooq MAbid AUmer TBashir AZikria Y(2021)Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challengesComplex & Intelligent Systems10.1007/s40747-021-00342-99:3(2773-2799)Online publication date: 5-Apr-2021
https://doi.org/10.1007/s40747-021-00342-9
Huynh HDuong-Trung NTruong DHuynh H(2020)Vietnamese Text Classification with TextRank and Jaccard Similarity CoefficientAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0506445:6(363-369)Online publication date: 2020
https://doi.org/10.25046/aj050644
Li MShi JChen Y(2019)Analyzing Patient Decision Making in Online Health Communities2019 IEEE International Conference on Healthcare Informatics (ICHI)10.1109/ICHI.2019.8904879(1-8)Online publication date: Jun-2019
https://doi.org/10.1109/ICHI.2019.8904879

Index Terms

On the Identification of Suggestion Intents from Vietnamese Conversational Texts
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Information extraction
2. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social media

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cover image ACM Other conferences

SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology

December 2017

486 pages

ISBN:9781450353281

DOI:10.1145/3155133

General Chairs:
Huynh Quyet Thang
HUST, Vietnam
,
Zhenjiang Hu
NII, Japan
,
Program Chairs:
Marc Bui
EPHE, France
,
Biplab Sikdar
NUS, Singapore
,
Ichiro IDE
Nagoya, Japan
,
Huynh Thi Thanh Binh
HUST, Vietnam
,
Publications Chairs:
Worrawat Engchuan
Canada
,
Dinh Viet Sang
HUST, Vietnam
,
Nguyen Thi Oanh
HUST, Vietnam

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SOICT: School of Information and Communication Technology - HUST
NAFOSTED: The National Foundation for Science and Technology Development

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2017

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SoICT 2017

SoICT 2017: The Eighth International Symposium on Information and Communication Technology

December 7 - 8, 2017

Nha Trang City, Viet Nam

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Cited By

Rashid AFarooq MAbid AUmer TBashir AZikria Y(2021)Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challengesComplex & Intelligent Systems10.1007/s40747-021-00342-99:3(2773-2799)Online publication date: 5-Apr-2021
https://doi.org/10.1007/s40747-021-00342-9
Huynh HDuong-Trung NTruong DHuynh H(2020)Vietnamese Text Classification with TextRank and Jaccard Similarity CoefficientAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0506445:6(363-369)Online publication date: 2020
https://doi.org/10.25046/aj050644
Li MShi JChen Y(2019)Analyzing Patient Decision Making in Online Health Communities2019 IEEE International Conference on Healthcare Informatics (ICHI)10.1109/ICHI.2019.8904879(1-8)Online publication date: Jun-2019
https://doi.org/10.1109/ICHI.2019.8904879

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