One of the goals of affective computing is to recognize human emotions. We present a system that learns to recognize emotions based on textual resources and test it on a large number of blog entries tagged with moods by their authors. We show how a machine-learning approach can be used to gain insight into the way writers convey and interpret their own emotions, and provide nuanced mood associations for a large wordlist.
%0 Conference Paper
%1 Leshed06
%A Leshed, Gilly
%A Kaye, Joseph 'Jofish'
%B CHI '06: CHI '06 extended abstracts on Human factors in computing systems
%C New York, NY, USA
%D 2006
%I ACM
%K SentimentAnalysis weblogs
%P 1019--1024
%R http://doi.acm.org/10.1145/1125451.1125646
%T Understanding how bloggers feel: recognizing affect in blog posts
%U http://portal.acm.org/citation.cfm?id=1125646
%X One of the goals of affective computing is to recognize human emotions. We present a system that learns to recognize emotions based on textual resources and test it on a large number of blog entries tagged with moods by their authors. We show how a machine-learning approach can be used to gain insight into the way writers convey and interpret their own emotions, and provide nuanced mood associations for a large wordlist.
%@ 1-59593-298-4
@inproceedings{Leshed06,
abstract = {One of the goals of affective computing is to recognize human emotions. We present a system that learns to recognize emotions based on textual resources and test it on a large number of blog entries tagged with moods by their authors. We show how a machine-learning approach can be used to gain insight into the way writers convey and interpret their own emotions, and provide nuanced mood associations for a large wordlist.},
added-at = {2009-07-06T17:00:49.000+0200},
address = {New York, NY, USA},
author = {Leshed, Gilly and Kaye, Joseph 'Jofish'},
biburl = {https://www.bibsonomy.org/bibtex/2d4fa160443fadf17d4440f75d5e46961/mkroell},
booktitle = {CHI '06: CHI '06 extended abstracts on Human factors in computing systems},
description = {Understanding how bloggers feel},
doi = {http://doi.acm.org/10.1145/1125451.1125646},
interhash = {c744fa6b376d3a37124d95954aeffa89},
intrahash = {d4fa160443fadf17d4440f75d5e46961},
isbn = {1-59593-298-4},
keywords = {SentimentAnalysis weblogs},
location = {Montr\'{e}al, Qu\'{e}bec, Canada},
pages = {1019--1024},
publisher = {ACM},
timestamp = {2009-08-03T11:03:10.000+0200},
title = {Understanding how bloggers feel: recognizing affect in blog posts},
url = {http://portal.acm.org/citation.cfm?id=1125646},
year = 2006
}