Quantifying comedy on YouTube: why the number of o’s in your LOL matter | Research Blog
february 2012 by rtlechow
"Fortunately, at YouTube, we have more to work with. We focused on videos uploaded in the comedy category. We captured the uploader’s belief in the funniness of their video via features based on title, description and tags. Viewers’ reactions, in the form of comments, further validate a video’s comedic value. To this end we computed more text features based on words associated with amusement in comments. These included (a) sounds associated with laughter such as hahaha, with culture-dependent variants such as hehehe, jajaja, kekeke, (b) web acronyms such as lol, lmao, rofl, (c) funny and synonyms of funny, and (d) emoticons such as :), ;-), xP. We then trained classifiers to identify funny videos and then tell us why they are funny by categorizing them into genres such as “funny pets”, “spoofs or parodies”, “standup”, “pranks”, and “funny commercials”."
ai
google
sentiment
research
comedy
humour
february 2012 by rtlechow
Avería – The Average Font
october 2011 by rtlechow
"I am not a type designer. This is the story of the creation of a new font, Avería: the average of all the fonts on my computer. The field of typography has long fascinated me, and I love playing with creative programming ideas, so it was perhaps inevitable that the idea came to me one day of “generative typography”. A Google on the subject brought up little, and I put the idea to the back of my mind until it occurred to me that perhaps the process of averaging, or interpolating, existing fonts might bring up interesting results."
algorithms
typography
google
ai
software
programming
type
design
october 2011 by rtlechow
MetaOptimize Q+A - machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization
ai algorithms analytics community computerscience data datamining learning machine programming mining statistics visualization search
july 2010 by rtlechow
ai algorithms analytics community computerscience data datamining learning machine programming mining statistics visualization search
july 2010 by rtlechow
The Chess Master and the Computer - The New York Review of Books
february 2010 by rtlechow
"Like so much else in our technology-rich and innovation-poor modern world, chess computing has fallen prey to incrementalism and the demands of the market. Brute-force programs play the best chess, so why bother with anything else? Why waste time and money experimenting with new and innovative ideas when we already know what works? Such thinking should horrify anyone worthy of the name of scientist, but it seems, tragically, to be the norm. Our best minds have gone into financial engineering instead of real engineering, with catastrophic results for both sectors."
chess
ai
essay
newmedia
reading
technology
writing
february 2010 by rtlechow
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