acl acl2011 acl2011-64 acl2011-64-reference knowledge-graph by maker-knowledge-mining
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Author: Aditya Joshi ; Balamurali AR ; Pushpak Bhattacharyya ; Rajat Mohanty
Abstract: 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.
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