![]() ![]() ![]() Text analysis delivers qualitative results and text analytics delivers quantitative results. To avoid any confusion here, let's stick to text analysis. The terms are often used interchangeably to explain the same process of obtaining data through statistical pattern learning. Text Analyticsįirstly, let's dispel the myth that text mining and text analysis are two different processes. You can us text analysis to extract specific information, like keywords, names, or company information from thousands of emails, or categorize survey responses by sentiment and topic. Companies use text analysis tools to quickly digest online data and documents, and transform them into actionable insights. Text analysis (TA) is a machine learning technique used to automatically extract valuable insights from unstructured text data.
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