Text analytics and text mining

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Free Guide: 5 Data Science Tools to Consider

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.

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Text analytics and text mining News

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.
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.
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.
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

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
Ad Hoc Analysis

Ad hoc analysis is a business intelligence (BI) process designed to answer a single, specific business question. Continue Reading
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.

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
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
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.

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
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
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.

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
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
Social media analytics tools offer customer insights, but care needed

While analyzing social media data can yield valuable information, consultants caution that the process is still a complex and inexact science. Continue Reading