Making sense of unstructured data by turning strings into things

Making sense of unstructured data by turning strings into things
Making sense of unstructured data by turning strings into things

We all know about the promise of Big Data Analytics to transform our understanding of the world. The analysis of structured data, such as inventory, transactions, close rates, and even clicks, likes and shares is clearly valuable, but the curious fact about the immense volume of data being produced is that a vast majority of it is unstructured text. Content such as news articles, blog post, product reviews, and yes even the dreaded 140 character novella contain tremendous value, if only they could be connected to things in the real world – people, places and things. In this talk, we’ll discuss the challenges and opportunities that result when you extract entities from Big Text.

Speaker:
Gregor Stewart – Director of Product Management for Text Analytics at Basis Technology

As Director of Product Management, Mr. Stewart helps to ensure that Basis Technology’s offerings stay ahead of the curve. Previously Mr. Stewart was the CTO of a storage services startup and a strategy consultant. He holds a Masters in Natural Language Processing from the University of Edinburgh, a BA in PPE from the University of Oxford, and a Masters from the London School of Economics.

Thanks to our amazing sponsors:

MicrosoftNERD for Venue

Basis Technology for Food and Kindle Raffle

Video:

Slideshare:

Originally Posted at: Making sense of unstructured data by turning strings into things by v1shal

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