Online detection of public attitudes towards China's second‐child policy: A linguistic analysis of social media responses
Authors:
Open Access
- 4 July 2019
- journal article
- research article
- Published by Wiley in Human Behavior and Emerging Technologies
- Vol. 1 (3) , 200-207
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- We Feel: Mapping Emotion on TwitterIEEE Journal of Biomedical and Health Informatics, 2015
- Population ageing challenges health care in ChinaThe Lancet, 2014
- Predicting Active Users' Personality Based on Micro-Blogging BehaviorsPLOS ONE, 2014
- Collaborative Visual Analysis of Sentiment in Twitter EventsLecture Notes in Computer Science, 2014
- Sentiment in Twitter eventsJournal of the American Society for Information Science and Technology, 2010
- Estimating the future healthcare costs of an aging population in the UK: expansion of morbidity and the need for preventative careJournal of Public Health, 2010
- Am “I” more important than “we”? Couples’ word use in instant messagesPersonal Relationships, 2008
- The Related Factors of Willingness to Have an Additional Childbirth of Mother with Children in an Urban-Rural AreaJournal of agricultural medicine and community health, 2007
- Language use of depressed and depression-vulnerable college studentsCognition and Emotion, 2004
- The Ageing Population and the Future of Healthcare PlansThe Geneva Papers on Risk and Insurance - Issues and Practice, 2001