This tutorial takes a detailed view of key text mining tasks (introduction to NLP, linguistic pre-processing, entity and relation recognition, semantic annotation, indexing and multi-paradigm search) of textual content. It will cover both the latest state-of-the-art research and selected established methods and tools. It will show how text analysis tools and techniques can be used to assist with semantic search by providing extra information that is not explicit within the text itself. Finally, some real-world applications of the technology will be demonstrated, showcasing the entire pipeline of data collection, annotation, indexing, search and visualization.
Tutorial by Diana Maynard.