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Text analytics and text mining News
July 07, 2020
BI vendor Sisu on Tuesday revealed its second update since emerging from stealth in late 2019 featuring new tools aimed at quickly identifying why changes occur in data sets.
May 20, 2019
With its acquisition of process intelligence software startup TimelinePI, document capture vendor Abbyy streamlines its content analysis and NLP capabilities.
March 19, 2019
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.
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.
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Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions. 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
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
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There was a lull in hiring for one of the hottest jobs in the U.S., but as lockdowns start to lift and offices start to reopen, the data scientist job outlook is changing. Continue Reading
Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more. Continue Reading
Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading
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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
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
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
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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 IoT data could deepen their statistical models, but most organizations aren't ready for it. Continue Reading