Text analytics and text mining News
May 23, 2016
Organizations are increasingly looking for ways to capitalize on all of the unstructured data they've been collecting and stashing. Deep learning applications could offer an answer.
December 16, 2015
As 2015 comes to an end, it's time to review some of the biggest developments and trends in the world of BI and big data, including how sports teams, hospitals and data-driven executives pushed ahead on analytics.
June 29, 2015
The current mayor of Boston is moving to make data analytics a key part of how city services are run, which is a major departure from his predecessor's approach.
June 24, 2015
The Apache Spark engine can be a powerful tool for encouraging big data adoption among front-line workers thanks to its fast processing speeds.
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In an excerpt from a book on using social media in business operations, Krish Krishnan and Shawn Rogers explore how organizations can take advantage of insights provided by social business intelligence. Continue Reading
Sports teams have been adopting analytics tools to improve in-game performance for years, but now some are also focusing on using data analysis to boost their business operations. Continue Reading
Big data analytics enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. Continue Reading
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Two new machine learning tools from IBM and Google promise rapid development of text- and speech-based applications and signal continued competition for customers in a fierce market. Continue Reading
Unleashing deep learning algorithms on sets of big data can help organizations analyze text, images, videos and other forms of unstructured data. Learn why in this Talking Data podcast. Continue Reading
At Lenovo, textual analysis software enables analysts and line-of-business workers to have a more informed dialog about customers and their ever-changing preferences. Continue Reading
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Professional sports teams are increasingly embracing analytics tools to help them implement dynamic pricing strategies designed to enable them to capture as much ticket revenue as possible. Continue Reading
The holiday shopping season is the most important time of the year for retailers, and they're increasingly turning to data analytics to try to get an advantage over their competition. Continue Reading
Predictive modeling can lead to some pretty bad insights when done poorly, but overcoming some common issues can help users sidestep problems on predictive analytics projects. Continue Reading
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Sentiment analysis based on social media data can be tricky to pull off, but Capital Market Exchange is using it to provide insights on the corporate bond market to investment managers. Continue Reading
Analysts like to imagine how Internet of Things data could deepen their statistical models, but most companies aren't ready for it. Continue Reading
Analytics in healthcare is a hot topic, but providers need to get their infrastructure on more solid footing before moving forward with adoption. Continue Reading