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CASE STUDY: Using Graph Theory & Graph Databases to understand User Intent

Note: please register on the SkillsMatter site for this event as well so that we can guarantee speedy access to the venue when you get there...


Title: Using Graph Theory to understand User Intent

Subtitle: Graph-based Natural Language Processing applied to real-time Machine Learning

Abstract:

We are in a Graph Renaissance period. The advent of high-performance free/open-source software combined with inexpensive Cloud computing platforms enable graphs of information to be manipulated and utilised at scales never before seen. While use-cases like mining social and web data with graphs are common-place, their use in Natural Language Processing has largely been overlooked. In this presentation Michael Cutler will describe how TUMRA have used graph-based NLP algorithms as a core component of their upcoming digital marketing product TUMRA Optimize.


Presenter: Michael Cutler

Bio:

Michael is the CTO co-founder of TUMRA, a Data Science startup based in Chiswick, West London. First discovering Hadoop back in 2008, Michael has been following the bleeding edge of ‘Big Data’ technology since before it was called ‘Big Data’ and has applied it to solve real-world problems.

Before starting TUMRA, Michael was a senior researcher in the R&D labs for British Sky Broadcasting, inventing new technologies and solutions for everything from Satellite, Video and Network systems through to Web and Mobile-based applications.

Website: http://tumra.com http://cotdp.com
Twitter: @tumra @cotdp

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  • A former member
    A former member

    Many thanks for the talk Michael, it was very helpful. I was wondering: would the video also be available somewhere at some point?

    January 31, 2013

  • Michael C.

    "To have great presentations, there must be great audiences too." thank you all who attended I've uploaded the slides here http://www.slideshare.net/tumra/using-graph-theory-to-understand-intent-concepts-neo4j-user-group-january-2013 and my contact details are: @cotdp (Twitter) [masked] (Email)

    January 31, 2013

  • James T.

    Interesting ideas about using neo4j to index NoSQL document store, and using machine learning to reduce number of queries necessary.

    January 31, 2013

  • Milan A.

    very good

    January 30, 2013

  • Simon T.

    Great content and speaker

    1 · January 30, 2013

  • Thomas

    I unfortunately cant make this one-will the information from this event be uploaded online?.

    January 29, 2013

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