How computers understand text content - by Anna DivoliAnna Divoli
This is the deck presented at the Auckland Content Strategy Meetup in August 2015.
http://www.meetup.com/Auckland-content-strategy-meetup/events/223324647/
How can computers understand text? And what happens when they can? Come along to a Meetup that looks forward to a world where computers can truly understand human language.
Hear about what will be possible when 'text mining' machines can understand huge amounts of content. How much can today's computers understand from what we write? More than you think! And that's handy, given the massive amount of text data generated every day. How do they do it? And what can we puny humans do to help make text content easier (or harder) to analyse?
There's more research happening of this every day, all around the globe - including right here in Auckland. Dr. Anna Divoli will tell us all about it, and advise us how to take advantage of this automation. In our traditional style, we'll open up a wide-ranging chat afterwards.
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Dr. ANNA DIVOLI is the Head of Research and Development at Pingar, a company that wants machines to learn as easily from text as they do from databases. Anna has been developing and evaluating algorithms and user interfaces for text mining systems since 2001. Her research has a wide range of applications including automatic database annotation, usability of search engines, knowledge acquisition, entity extraction and document clustering.
She has an MSc in Biosystems and Informatics from the University of Liverpool, a PhD in Biomedical Text Mining from the University of Manchester and held postdoctoral research positions in the prestigious School of Information at the University of California at Berkeley and later the Department of Medicine at the University of Chicago.
Taniaren esperimentua, Atribuzio kausala, hezkuntza, irakasleak eta ikasleen iritzia, atseginak eta notak
Gehiago ikusteko:
http://psiko-sagutxua.wikispaces.com/Pentsatzen+duzu+beti+arrazoia+duzula%3F
How computers understand text content - by Anna DivoliAnna Divoli
This is the deck presented at the Auckland Content Strategy Meetup in August 2015.
http://www.meetup.com/Auckland-content-strategy-meetup/events/223324647/
How can computers understand text? And what happens when they can? Come along to a Meetup that looks forward to a world where computers can truly understand human language.
Hear about what will be possible when 'text mining' machines can understand huge amounts of content. How much can today's computers understand from what we write? More than you think! And that's handy, given the massive amount of text data generated every day. How do they do it? And what can we puny humans do to help make text content easier (or harder) to analyse?
There's more research happening of this every day, all around the globe - including right here in Auckland. Dr. Anna Divoli will tell us all about it, and advise us how to take advantage of this automation. In our traditional style, we'll open up a wide-ranging chat afterwards.
===
Dr. ANNA DIVOLI is the Head of Research and Development at Pingar, a company that wants machines to learn as easily from text as they do from databases. Anna has been developing and evaluating algorithms and user interfaces for text mining systems since 2001. Her research has a wide range of applications including automatic database annotation, usability of search engines, knowledge acquisition, entity extraction and document clustering.
She has an MSc in Biosystems and Informatics from the University of Liverpool, a PhD in Biomedical Text Mining from the University of Manchester and held postdoctoral research positions in the prestigious School of Information at the University of California at Berkeley and later the Department of Medicine at the University of Chicago.
Taniaren esperimentua, Atribuzio kausala, hezkuntza, irakasleak eta ikasleen iritzia, atseginak eta notak
Gehiago ikusteko:
http://psiko-sagutxua.wikispaces.com/Pentsatzen+duzu+beti+arrazoia+duzula%3F
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