Text analytics and text mining
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Text analytics and text mining News
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July 07, 2020
07
Jul'20
Sisu adds new ways of answering 'Why?' to analytics platform
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.
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May 20, 2019
20
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
19
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
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.
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 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
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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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text mining (text analytics)
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
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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Why using graph analytics for big data is on the rise
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
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The data scientist job outlook positive post-pandemic
The data scientist position remains important for enterprises reliant on data and 2021 looks to be a rebound from a decline in postings due to the pandemic. Continue Reading
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What is data science? The ultimate guide
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
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