Work Smarter Not Harder - Teradata Text Analytics

Text analytics is a genre of analytic capabilities intended to function across the typed/written word. This area of analytics seeks to learn from huge quantities of text data to expose human intent, sentiment, and behaviors. Examples include doctor notes, tweets, product/content reviews, survey text response, and much more. There are varying types of text analytics such as text parsing, Levenshtein distance, entity extraction, tagging/classification, and chunking - just to name a few. Many areas of machine learning use text analytics as data preparation steps in order to develop models.