Text analytics and natural language processing are often portrayed as ultra-complex computer science functions that can only be understood by trained data scientists. But the truth is that the core ...

As a business executive, you ask your data scientists and analysts to answer a lot of different questions. Which brands of a product get the most complaints about a specific type of defect? Which ...

Text analytics is still relatively new for most companies. What do we know so far about what has worked? The worldwide text analytics market is projected to reach $29.42 billion by 2030, growing at a ...

Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data.

Text analytics, sometimes called text data mining, is the process of uncovering insightful and actionable information, trends, or patterns from text. The extracted and structured data is much more ...

The quantity of digital text data has grown exponentially in recent years and will continue to grow. From social media posts to customer transactions, surveys, reviews, chats, emails and more, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...