Hands-on Tutorial: From Words to Networks: Extraction and Analysis of Semantic Network Data from Text Data

Abstract

• Gain methodological and hands-on expertise in: 1. Information Extraction and Relation Extraction • Distill relevant information from text data • Construct one-mode & multi-mode semantic networks from unstructured, natural language text data • Several natural language processing/ text mining techniques – Pre-processing – Identify salient concepts from single documents and corpora – Create and apply codebooks (aka dictionaries or thesauri) – Locate and classify entities that can serve as nodes for networks. – Link entities into edges (relation extraction) 2. Network Analysis • Collect, visualize, analyze, interpret network data – Compute basic network metrics on the graph and node level

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