The document outlines a 6-step text mining process to analyze HR documents: 1) read plain text files, 2) build a corpus database, 3) clean the text by removing punctuation and common words, 4) create a term document matrix to track word frequencies, 5) generate frequency tables, correlations and word clouds from the data, and 6) interpret the results to identify patterns and insights such as word clouds showing attrition is related to how employees' work is credited in an organization.