A Generic Framework to Perform Comprehensive Analysis of Tweets

Recently, there has been an increased interest in the use of social media data as important traffic information sources and as a data research in the field of Human and Social Sciences. Social media are used, for example, to identify Twitter user communities in the context of altmetrics. In this paper, we highlight the potential use of social media data analysis by non computer science researchers. We present an approach based on a multi-dimensional analysis which combines the thematic, temporal and spatial features of tweets. We detail an experimentation using different tools in order to create the “perfectible” toolbox for researchers in HSS (for example territorial marketing) or for local territory managers. This approach can be applied in the context of altmetrics.