An aspect-lexicon creation and evaluation tool for sentiment analysis researchers

Authors:
Mus'ab Husaini;Ahmet Koçyiğit;Dilek Tapucu;Berrin Yanikoglu;Yücel Saygın
Affiliations:
Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey;Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey;Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey, Dept. of Computer Engineering, Izmir Institute of Technology, Izmir, Turkey;Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey;Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey
Venue:
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Year:
2012

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Abstract

In this demo paper, we present SARE, a modular and extendable semi-automatic system that 1) assists researchers in building gold-standard lexicons and evaluating their lexicon extraction algorithms; and 2) provides a general and extendable sentiment analysis environment to help researchers analyze the behavior and errors of a core sentiment analysis engine using a particular lexicon.