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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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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. Continue Reading
Unstructured data is information, in many different forms, that doesn't hew to conventional data models and thus typically isn't a good fit for a mainstream relational database. Continue Reading
Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends. Continue Reading
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The RapidMiner data science platform comprises products that enable both technical and nontechnical users to perform a variety of advanced data analytics functions. Continue Reading
A lot of hot new tools are available today for doing real-time analytics, but QVC found success building a real-time platform by repurposing older, simpler tools. Continue Reading
KNIME offers open source data analytics, reporting and integration tools, as well as commercial software that can help build more efficient workflows. Continue Reading
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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
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
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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
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