C-Feel-It: a sentiment analyzer for micro-blogs

Authors:
Aditya Joshi;A. R. Balamurali;Pushpak Bhattacharyya;Rajat Mohanty
Affiliations:
IIT Bombay, Mumbai;IITB-Monash Research Academy, IIT Bombay, Mumbai;IIT Bombay, Mumbai;AOL India (R&D), Bangalore, India
Venue:
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
Year:
2011

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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.