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

Haoran XIE, Tak Lam WONG, Di ZOU, Fu Lee WANG, Leung Pun WONG

Research output: Chapter in Book/Report/Conference proceedingChapter

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. Copyright © 2017 Springer International Publishing AG.
Original languageEnglish
Title of host publicationInternational symposium on emerging technologies for education
EditorsTing-Ting WU, Rosella GENNARI, Yueh-Min HUANG, Haoran XIE, Yiwei CAO
Place of PublicationSwitzerland
PublisherSpringer
Pages301-305
ISBN (Print)9783319528359, 9783319528366
DOIs
Publication statusPublished - 2017

    Fingerprint

Citation

Xie, H., Wong, T. L., 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). Switzerland: Springer.

Keywords

  • Sentiment analysis
  • Text mining
  • Instance messaging service
  • Active ageing
  • Digital inclusion