Using community detection for sentiment analysis

Abstract

This paper presents a system for identifying communities in networks built based on opinions and social data. We show how we can build graphs from opinions and social interactions and how we identify the community structure of these graphs. We handle both types of data: one-dimensional and multidimensional. As community detection method, we use the Infomap algorithm. The dimensions considered for identifying communities are one or many opinions and social attributes. We show how contradictions can be detected using the identified communities.