期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：Social networking and micro-blogging sites
are stores of opinion-bearing content created
by human users. We describe C-Feel-It, a system
which can tap opinion content in posts
(called tweets) from the micro-blogging website,
Twitter. This web-based system categorizes
tweets pertaining to a search string as
positive, negative or objective and gives an aggregate
sentiment score that represents a sentiment
snapshot for a search string. We present
a qualitative evaluation of this system based
on a human-annotated tweet corpus.
