Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...

Text Analytics

Text Analytics: The Next Generation of Big Data

 In insideBIGDATA‘s special guest feature, Jeff Catlin of Lexalytics lays out the case for text analytics and its importance to the rising interest in big data. Jeff is CEO of Lexalytics, a company providing sentiment and intent analysis to an array of businesses using on-premise and cloud-based technology. Big Data Sensors, tweets, emails, web clickstreams,

5 Tools and Techniques for Text Analytics

 Data mining expert lays out some useful tools and techniques from sentiment analysis to topic modeling and natural language processing There’s a proliferation of unstructured data on the Internet and coming into customer call centres. But manually...

Leveraging Open Data: Improve Customer Experience and Drive New Market Opportunities

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Why text analytics is so important in search

 Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results...

Poll Results: Text Analytics Use Shows No Significant Change

 Surprisingly, latest KDnuggets Poll did not find a significant change in Text Analytics use over the past 2 years. While 66% make some use of text analytics, only 19% use it on the majority of their projects....

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