Semantic Linking and Contextualization for Social Forensic Text Analysis

Abstract

With the development of social media, forensic text analysis is becoming more and more challenging as forensic analysts have begun to include this information source in their practice. In this paper, we report on our recent work related to semantic search in e-discovery and propose the use of entity and topic extraction for social media text analysis. We first describe our approach for entity linking at the 2012 Text Analysis Conference Knowledge Base Population track and then introduce the personalized tweets summarization task, where entity linking is used for semantically enriching information in a social media context.