Using Text Analytics, engineers can extract more value from raw text and combine it with sensor data and machine learning algorithms to improve functions like predictive maintenance. Using Text ...

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 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, ...

Microsoft on Wednesday announced the inclusion of text analytics capabilities within its Azure Cognitive Services product. According to the software giant, the Text Analytics for health feature can ...

Massive volumes of unstructured data are produced every minute. It's extremely difficult to manage and analyze this data to identify what is pertinent. But with text analytics tools, businesses can ...

This study leverages text analytics to identify work themes managed by primary care physicians in their electronic health record (EHR) inbox messages and inform managers on workflow redesign.

Mining the information in contact center calls using speech analytics can be an early warning system, before an issue escalates to negative social media. For several years speech analytics solutions ...

Christopher Savoie, PhD, is the CEO & founder of Zapata AI. He is a published scholar in medicine, biochemistry and computer science. Generative AI is continuing to make headlines for its impressive ...