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, ...

Have you every wondered whether a certain TV network has a specific political bias? Is your favorite news source fair and balanced? A group of Stanford computer scientists have created a website with ...

LONDON--(BUSINESS WIRE)--Quantzig, global data analytics and advisory firm, that delivers actionable analytics solutions presents a new case study series that focuses on how coronavirus is impacting ...

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 ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

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 ...

- This report includes 28 people-oriented text analytics platform and application vendors - InMoment one of four vendors to support 5 out of 5 of the most common people-oriented text analytics use ...

Natural language processing (NLP) has dozens of applications, from drug discovery to data categorization to robotic process automation. But nowhere has its benefits been more evident than in customer ...

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

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.