Text stream processing

The aim of this tutorial is to present an overview of text stream processing starting with a description and properties of text streams, and continuing with a series of text processing techniques and their applicability to text streams. Among the text processing techniques we are going to describe entity extraction and resolution, event and fact extraction, word sense disambiguation, sentiment analysis, summarization, social network analysis, all in the context of text streams. The goal is to present the list of problems and challenges arising when processing text streams and to show how they can be approached using text mining, natural language processing and semantic analysis techniques and tools. The tutorial will describe available approaches and show some demos on text data streams, using publicly available tools.