4 ms·
Sentiment is an awesome space to be in, the linked article is a nice overview but doesn't exactly break any novel revelations. If you're interested in learning
by jlees 18y ago
Sentiment is an awesome space to be in, the linked article is a nice overview but doesn't exactly break any novel revelations.
If you're interested in learning about sentiment and the machine learning behind it, two of the early 'seminal' papers (somewhat outdated by current techniques, but really understandable) are Turney 2002 (http://acl.ldc.upenn.edu/acl2002/MAIN/pdfs/Main425.pdf http://acl.ldc.upenn.edu/acl2002/MAIN/pdfs/Main425.pdf) and Pang and Lee 2002 (http://portal.acm.org/citation.cfm?id=1118693.1118704 http://portal.acm.org/citation.cfm?id=1118693.1118704). Wiebe's work is also worth a look (she's quoted in the OP).
Good places to start, at least; ping me if you want some more.
- pixelmonkey 18y agoYou should also check out "Large-Scale Sentiment Analysis for News and Blogs", by the team behind TextMap.org. http://www.icwsm.org/papers/3--Godbole-Srinivasaiah-Skiena.pdf http://www.icwsm.org/papers/3--Godbole-Srinivasaiah-Skiena.p...