Text Analysis 101; A Basic Understanding for Business Users: Words, Entities and Concepts

This blog was originally published on our Text Analysis blog, the blog post aimed to explain how Text Analysis and Natural Language Processing works from a non-technical point of view. For the first installment, we looked at how text is understood by machines, what methods are used in text analysis and why Entity and Concept extraction techniques are so important in the process. Text Analysis refers to the process of retrieving high-quality information from text. It involves Information Retrieval (IR) processes and lexical analysis techniques to study word frequency, distributions, patterns and utilizes information extraction and association analysis to attempt to understand text. The main goal of Text Analysis as a practice is to turn text into data for further analysis, whether that is from a business intelligence, research, data analytics or investigative perspective.