Bringing Data Science to the Speakers of Every Language

author: Robert Munro, Idibon
published: Oct. 7, 2014,   recorded: August 2014,   views: 2662


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


This presentation will cover how natural language processing and distributed human computing help improve the lives of speakers of all the world's languages, in applications including education, disaster-response, health and access to employment. When applying natural language processing to the full diversity of the world's communications, we need to go beyond simple keyword analysis and implement complex technologies that require human-in-the-loop processing to ensure usable accuracy. I will give examples from recent work where more than a million human judgments were collected on unstructured text and imagery data around natural disasters - the largest application of its kind by an order of magnitude. The observations debunk some of the over-optimistic claims about the utility of social media following disasters. On the positive side, I will share results that show how for-profit technologies are improving people's lives by providing sustainable economic growth opportunities when they support more languages, aligning business objectives with global diversity.

See Also:

Download slides icon Download slides: kdd2014_munro_data_science_01.pdf (3.0┬áMB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: