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Wednesday, November 11 • 4:00pm - 4:30pm
Clustering + Feature Extraction on Text with H2O and Lexalytics - Seth Redmore

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First we’ll show you how to get text to cluster well (tricky!), and then show how you can use tools like Lexalytics Salience Engine (or Stanford NLTK or OpenCalais, or any other Text Mining toolkit) to extract information from those clusters.  This gives you the power to automatically segment your content into buckets, and then understand just what’s in those buckets.   Useful for understanding differing points of view in political discourse, or message boards, or reviews – basically any type of text can benefit from this “cluster & extract” treatment.   It’s a great way to discover what’s going on without making any assumptions or having to ask questions.  Let your (text) data surprise you.

Speakers
avatar for Seth Redmore

Seth Redmore

Chief Marketing Officer, Lexalytics, Inc.
Seth is currently 3 for 4 in startups, including co-founding and selling a networking company to Cisco Systems. Seth was into data before it was big, and has been dealing with unstructured data problems for over ten years now. Seth is responsible for all marketing inside of Lexalytics, from arguing about taglines to filling sales' insatiable need for leads.  Seth also spends lots of time processing and visualizing unstructured data to... Read More →


Wednesday November 11, 2015 4:00pm - 4:30pm
Ramanujan Stage