Text analytics and text mining
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Staff Pick: The Rising Need for Analytics Accuracy
Learn how LinkedIn overcame analytics bottlenecks, 3 data modeling flaws that cripple data science projects, and common roadblocks of advancing data science teams and hiring data pros.
Text analytics and text mining News
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May 23, 2016
23
May'16
Deep learning tools help users dig into advanced analytics data
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.
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December 16, 2015
16
Dec'15
Top data analysis software and techniques stories of 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.
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June 29, 2015
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Jun'15
How Boston embraced data analysis methods
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.
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June 24, 2015
24
Jun'15
Spark big data framework powers speedy analytics
The Apache Spark engine can be a powerful tool for encouraging big data adoption among front-line workers thanks to its fast processing speeds.
Text analytics and text mining Get Started
Bring yourself up to speed with our introductory content
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unstructured data
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
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predictive analytics
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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data science
Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies. Continue Reading
Evaluate Text analytics and text mining Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Inside RapidMiner's data science platform
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
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How QVC built a real-time analytics platform from humble tools
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
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Examining the KNIME Analytics Platform for big data analytics
KNIME offers open source data analytics, reporting and integration tools, as well as commercial software that can help build more efficient workflows. Continue Reading
Manage Text analytics and text mining
Learn to apply best practices and optimize your operations.
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Four steps to integrating social media metrics into the BI process
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
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Data analytics applications let teams call new ticket-pricing plays
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
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Retail analytics offers online stores an edge in holiday season
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
Problem Solve Text analytics and text mining Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Analytics in sports gets growing front-office role
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
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Social media sentiment analysis helps investors place bond bets
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
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What will IoT technology mean to analytics?
Analysts like to imagine how Internet of Things data could deepen their statistical models, but most companies aren't ready for it. Continue Reading