Webometric Analyses of Social Web Texts: case studies Twitter and YouTube
Tuesday 11 October, 6.15pm, Anatomy Museum. Followed by refreshments.
Mike Thelwall, Statistical Cybermetrics Research Group, University of Wolverhampton
This talk will describe how large scale analyses of the social web can yield insights into its use and patterns of communication amongst users. Case studies of Twitter posts and YouTube comments will reveal how large scale data sets can be obtained quite easily and how to investigate them. One of the methods demonstrated will be sentiment analysis, which allows researchers to gain important insights into the affective dimension of technology use.
Please register to attend at: http://www.eventbrite.com/event/1995848637
About the speaker
Mike Thelwall is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, UK. He is also Docent at Åbo Akademi University Department of Information Studies, and a research associate at the Oxford Internet Institute. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 300+ publications include 152 refereed journal articles, seven book chapters and two books, including Introduction to Webometrics, is an associate editor of the Journal of the American Society for Information Science and Technology and sits on five other editorial boards.
http://www.scit.wlv.ac.uk/~cm1993/mycv.html