Text mining, sometimes also known as text data mining (TDM), is the process of extracting information from a collection of texts. The type of texts used, and the type of information sought from the texts vary widely across projects. Some examples include tracking an author's word usage across their entire body of work, finding the extent of commonality between two government documents, or finding the most commonly used words in the transcript of an earnings call from a large company.
This guide will highlight some popular and easy to use tools for text mining as well as some popular corpora of texts.