Sentiment Analysis for Older People in Cross-Platform Instant Messaging Service

  • Haoran Xie
  • Tak-Lam Wong
  • Di ZouEmail author
  • Fu Lee Wang
  • Leung Pun Wong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10108)


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.


Sentiment analysis Text mining Instance messaging service Active ageing Digital inclusion 



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.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Haoran Xie
    • 1
  • Tak-Lam Wong
    • 1
  • Di Zou
    • 2
    Email author
  • Fu Lee Wang
    • 3
  • Leung Pun Wong
    • 3
  1. 1.Department of Mathematics and Information TechnologyThe Education University of Hong KongTai PoHong Kong
  2. 2.English Language CentreThe Hong Kong Polytechnic UniversityKowloonHong Kong
  3. 3.Caritas Institute of Higher EducationTseung Kwan OHong Kong

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