@inproceedings{67d6692f3fe746a9968c8351ae345287,
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 = "Active ageing, Digital inclusion, Instance messaging service, Sentiment analysis, Text mining",
author = "Haoran Xie and Wong, {Tak Lam} 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 Held in Conjunction with ICWL 2016 ; Conference date: 26-10-2016 Through 29-10-2016",
year = "2017",
doi = "10.1007/978-3-319-52836-6_30",
language = "English",
isbn = "9783319528359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "301--305",
editor = "Rosella Gennari and Yiwei Cao and Yueh-Min Huang and Wu Wu and Haoran Xie",
booktitle = "Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers",
}