When business people talk Big Data, they often focus on the complexity of dealing with enormous data volume, but that’s changing. Volume alone does not pose the challenge it once did. For example, the ...

Gartner defines text analytics as "the process of deriving information from text sources." Text analytics are used for trying to find the key content across a larger body of information, analyzing the ...

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.

It's impressive that the internet can generate so much qualitative data through ordinary online conversations. Your Facebook page asks “how are you feeling?” LinkedIn asks for testimonials rather than ...

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 analysis powered by natural language processing (NLP) is helping transform digital marketing strategies. Here’s five ways it can help your team. Social listening tools enable marketers to build ...

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 a sure sign that text analytics technology is going mainstream, Clarabridge announced Monday that Wendy's International will use the vendor's analysis software to enhance its customer feedback ...

The volumes of text data generated in the marketplace can be valuable in generating marketing insights using the newest text analysis methods and technologies. Researchers from University of ...