Four short links: 4 October 2013
Neuromancer Game, Ray Ozzie, Sentiment Analysis, and Open Science Prizes
- Case and Molly, a Game Inspired by Neuromancer (Greg Borenstein) — On reading Neuromancer today, this dynamic feels all too familiar. We constantly navigate the tension between the physical and the digital in a state of continuous partial attention. We try to walk down the street while sending text messages or looking up GPS directions. We mix focused work with a stream of instant message and social media conversations. We dive into the sudden and remote intimacy of seeing a family member’s face appear on FaceTime or Google Hangout. “Case and Molly” uses the mechanics and aesthetics of Neuromancer’s account of cyberspace/meatspace coordination to explore this dynamic.
- Rethinking Ray Ozzie — an inescapable conclusion: Ray Ozzie was right. And Microsoft’s senior leadership did not listen, certainly not at the time, and perhaps not until it was too late. Hear, hear!
- Recursive Deep Models for Semantic Compositionality
Over a Sentiment Treebank (PDF) — apparently it nails sentiment analysis, and will be “open sourced”. At least, according to this GigaOm piece, which also explains how it works.
- PLoS ASAP Award Finalists Announced — with pointers to interviews with the finalists, doing open access good work like disambiguating species names and doing open source drug discovery.
, Greg Borenstein
, machine learning
, open science
, open source
, Ray Ozzie
, sentiment analysis
, text analysis