Text analytics and text mining
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With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.
Text analytics and text mining News
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May 20, 2019
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May'19
Abbyy TimelinePI acquisition boosts process intelligence
With its acquisition of process intelligence software startup TimelinePI, document capture vendor Abbyy streamlines its content analysis and NLP capabilities.
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March 19, 2019
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Mar'19
Tableau-VoiceBase deal brings speech analytics data to users
Tableau's partnership with AI speech analytics vendor VoiceBase enables users both inside and outside of the contact center to easily derive insights from speech analytics data.
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May 23, 2016
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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
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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.
Text analytics and text mining Get Started
Bring yourself up to speed with our introductory content
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big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make... Continue Reading
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Ad Hoc Analysis
Ad hoc analysis is a business intelligence (BI) process designed to answer a single, specific business question. Continue Reading
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association rules (in data mining)
Association rules are if-then statements that help to show the probability of relationships between data items within large data sets in various types of databases. 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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Grammarly AI and an update to the writing tool
A Grammarly update adds a new consistency checker tool to the writing platform that uses AI to automatically scan for multiple writing styles within a single document. Continue Reading
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Reddit and the aspiring data scientist
For amateur data scientists, Reddit provides the opportunity to post about personal projects, chat with like-minded people and get free advice from a large community. Continue Reading
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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
Manage Text analytics and text mining
Learn to apply best practices and optimize your operations.
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Social media analytics applications live and die by the data
This handbook provides insight and advice on how to use analytics to get information on customer sentiment and marketing opportunities from sets of social media data. Continue Reading
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Social media analytics best practices tempered by privacy laws
Social media provides a fertile landscape of information and insight into consumer behavior, but collecting and analyzing that data carries all sorts of privacy pitfalls. Continue Reading
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Beyond customer sentiment: How to put NLP technology to work
Natural language processing tools and apps have finally arrived -- but how are organizations putting NLP to work? Here are some possibilities that might not be obvious. 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 analytics mean for data science?
Analysts like to imagine how IoT data could deepen their statistical models, but most organizations aren't ready for it. Continue Reading