Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...

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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