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NEO4J USER GROUP : CASE STUDY: USING GRAPH THEORY & GRAPH DATABASES TO UNDERSTAND USER INTENT
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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.
Wednesday 30th January 2013
Track 1
18:30-20:00 CASE STUDY: USING GRAPH THEORY & GRAPH DATABASES TO UNDERSTAND USER INTENT
Michael Cutler: 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. View the podcast here...
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