Historically, understanding the contents of unstructured text has required a great deal of time and effort by experts to read stacks of documents and manually extract key information that is then consolidated in spreadsheets or structured databases. By using sophisticated semantic processing to enrich text analytics results, however, business analysts can set up text processing pipelines that can automatically analyze text content by extracting entities and relationships, analyzing sentiment and summarizing or classifying documents, emails, social media, websites and more.
In this webinar, Richard Mallah, Cambridge Semantics' Director of Advanced Analytics, dicusses advancements in text analytics and how the Anzo Unstructured platform allows users to link unstructured and structured data from a wide variety of sources, allowing them to gain significant insights and competitive advantage by more easily and efficiently extracting meaning and value from the documents and the data.
To learn more, watch Richard's full webinar "Introduction to Anzo Unstructured".