Sentiment analysis for older people in cross-platform instant messaging service

Haoran XIE; Tak-lam WONG; Di ZOU; Fu Lee WANG; Leung Pun WONG

doi:10.1007/978-3-319-52836-6_30

Sentiment analysis for older people in cross-platform instant messaging service

Haoran XIE, Tak-lam WONG, Di ZOU^*, Fu Lee WANG, Leung Pun WONG

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research

1 Citation (Scopus)

Abstract

The population of older people increases in many developed and developing countries, so that the overall structures of the populations has been changing. However, older people are one of the most disadvantaged and vulnerable groups for digital exclusion in this technocratic society. Therefore, in this article, we aims to predict the sentiments for older people when they use the cross-platform instance messaging service such as WeChat or WhatsApp. Specifically, we adopt semi-annotation approaches to obtaining their sentimental labels from the textual data in the cross-platform instance messaging service. Furthermore, we propose a lexical-based framework for predicting the sentimental labels. The findings give us insight to develop applications for the inclusion of older people in digital world.

Original language	English
Title of host publication	Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers
Editors	Ting-Ting WU, Rosella GENNARI, Yueh-Min HUANG, Haoran XIE, Yiwei CAO
Publisher	Springer International Publishing AG
Pages	301-305
Number of pages	5
ISBN (Electronic)	9783319528366
ISBN (Print)	9783319528359
DOIs	https://doi.org/10.1007/978-3-319-52836-6_30
Publication status	Published - 2017
Externally published	Yes
Event	1st International Symposium on Emerging Technologies for Education - Sapienza University, Rome, Italy Duration: 26 Oct 2016 → 29 Oct 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	10108 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Symposium on Emerging Technologies for Education
Abbreviated title	SETE 2016
Country/Territory	Italy
City	Rome
Period	26/10/16 → 29/10/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Funding

The work described in this paper was fully supported by a grant from Research Grants Council of Hong Kong Special Administrative Region, China (UGC/FDS11/E06/14), the Internal Research Grant (RG 30/2014-2015) and the Start-Up Research Grant (RG 37/2016-2017R) of The Education University of Hong Kong.

Keywords

Sentiment analysis
Text mining
Instance messaging service
Active ageing
Digital inclusion

Access to Document

10.1007/978-3-319-52836-6_30

Cite this

XIE, H., WONG, T., ZOU, D., WANG, F. L., & WONG, L. P. (2017). Sentiment analysis for older people in cross-platform instant messaging service. In T.-T. WU, R. GENNARI, Y.-M. HUANG, H. XIE, & Y. CAO (Eds.), Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers (pp. 301-305). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10108 LNCS). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-52836-6_30

XIE, Haoran ; WONG, Tak-lam ; ZOU, Di et al. / Sentiment analysis for older people in cross-platform instant messaging service. Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers. editor / Ting-Ting WU ; Rosella GENNARI ; Yueh-Min HUANG ; Haoran XIE ; Yiwei CAO. Springer International Publishing AG, 2017. pp. 301-305 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c369ad90d29c46a7a6054ff73a5ac016,

title = "Sentiment analysis for older people in cross-platform instant messaging service",

abstract = "The population of older people increases in many developed and developing countries, so that the overall structures of the populations has been changing. However, older people are one of the most disadvantaged and vulnerable groups for digital exclusion in this technocratic society. Therefore, in this article, we aims to predict the sentiments for older people when they use the cross-platform instance messaging service such as WeChat or WhatsApp. Specifically, we adopt semi-annotation approaches to obtaining their sentimental labels from the textual data in the cross-platform instance messaging service. Furthermore, we propose a lexical-based framework for predicting the sentimental labels. The findings give us insight to develop applications for the inclusion of older people in digital world.",

keywords = "Sentiment analysis, Text mining, Instance messaging service, Active ageing, Digital inclusion",

author = "Haoran XIE and Tak-lam WONG and Di ZOU and WANG, {Fu Lee} and WONG, {Leung Pun}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st International Symposium on Emerging Technologies for Education, SETE 2016 ; Conference date: 26-10-2016 Through 29-10-2016",

year = "2017",

doi = "10.1007/978-3-319-52836-6_30",

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XIE, H, WONG, T, ZOU, D, WANG, FL & WONG, LP 2017, Sentiment analysis for older people in cross-platform instant messaging service. in T-T WU, R GENNARI, Y-M HUANG, H XIE & Y CAO (eds), Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10108 LNCS, Springer International Publishing AG, pp. 301-305, 1st International Symposium on Emerging Technologies for Education, Rome, Italy, 26/10/16. https://doi.org/10.1007/978-3-319-52836-6_30

Sentiment analysis for older people in cross-platform instant messaging service. / XIE, Haoran; WONG, Tak-lam; ZOU, Di et al.
Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers. ed. / Ting-Ting WU; Rosella GENNARI; Yueh-Min HUANG; Haoran XIE; Yiwei CAO. Springer International Publishing AG, 2017. p. 301-305 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10108 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research

TY - GEN

T1 - Sentiment analysis for older people in cross-platform instant messaging service

AU - XIE, Haoran

AU - WONG, Tak-lam

AU - ZOU, Di

AU - WANG, Fu Lee

AU - WONG, Leung Pun

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - The population of older people increases in many developed and developing countries, so that the overall structures of the populations has been changing. However, older people are one of the most disadvantaged and vulnerable groups for digital exclusion in this technocratic society. Therefore, in this article, we aims to predict the sentiments for older people when they use the cross-platform instance messaging service such as WeChat or WhatsApp. Specifically, we adopt semi-annotation approaches to obtaining their sentimental labels from the textual data in the cross-platform instance messaging service. Furthermore, we propose a lexical-based framework for predicting the sentimental labels. The findings give us insight to develop applications for the inclusion of older people in digital world.

AB - The population of older people increases in many developed and developing countries, so that the overall structures of the populations has been changing. However, older people are one of the most disadvantaged and vulnerable groups for digital exclusion in this technocratic society. Therefore, in this article, we aims to predict the sentiments for older people when they use the cross-platform instance messaging service such as WeChat or WhatsApp. Specifically, we adopt semi-annotation approaches to obtaining their sentimental labels from the textual data in the cross-platform instance messaging service. Furthermore, we propose a lexical-based framework for predicting the sentimental labels. The findings give us insight to develop applications for the inclusion of older people in digital world.

KW - Sentiment analysis

KW - Text mining

KW - Instance messaging service

KW - Active ageing

KW - Digital inclusion

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DO - 10.1007/978-3-319-52836-6_30

M3 - Conference paper (refereed)

SN - 9783319528359

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 301

EP - 305

BT - Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers

A2 - WU, Ting-Ting

A2 - GENNARI, Rosella

A2 - HUANG, Yueh-Min

A2 - XIE, Haoran

A2 - CAO, Yiwei

PB - Springer International Publishing AG

T2 - 1st International Symposium on Emerging Technologies for Education

Y2 - 26 October 2016 through 29 October 2016

ER -

XIE H, WONG T, ZOU D, WANG FL, WONG LP. Sentiment analysis for older people in cross-platform instant messaging service. In WU TT, GENNARI R, HUANG YM, XIE H, CAO Y, editors, Emerging Technologies for Education : First International Symposium, SETE 2016 held in conjunction with ICWL 2016, Rome, Italy, October 26–29, 2016, revised selected papers. Springer International Publishing AG. 2017. p. 301-305. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2017 Feb 19. doi: 10.1007/978-3-319-52836-6_30

Sentiment analysis for older people in cross-platform instant messaging service

Abstract

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Keywords

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