Text analytics software typically follows a multi-step process:
Data Collection: Gathering textual data from various sources such as email campaigns, social media, and customer reviews. Preprocessing: Cleaning and preparing the text data by removing irrelevant information, correcting typos, and standardizing formats. Text Mining: Using algorithms to extract key phrases, sentiments, and patterns from the text. Analysis: Interpreting the extracted information to gain actionable insights. Visualization: Presenting the results in an easily understandable format such as charts, graphs, and dashboards.