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Title: Sentiment analysis for older people in cross-platform instant messaging service
Authors: Xie, H
Wong, TL
Zou, D 
Wang, FL
Wong, LP
Keywords: Active ageing
Digital inclusion
Instance messaging service
Sentiment analysis
Text mining
Issue Date: 2017
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2017, v. 10108, p. 301-305 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: 1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016, 26 - 29 October 2016
ISBN: 9783319528359
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-52836-6_30
Appears in Collections:Conference Paper

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