Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6797
Title: An aspect-lexicon creation and evaluation tool for sentiment analysis researchers
Authors: Husaini, Mus'ab
Koçyiğit, Ahmet
Tapucu, Dilek
Yanıkoğlu, Berrin
Saygın, Yücel
Tapucu, Dilek
Izmir Institute of Technology. Computer Engineering
Keywords: Behavioral research
Evaluation tool
Extraction algorithms
Learning systems
Issue Date: 2012
Publisher: Springer Verlag
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.
Description: 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012; Bristol; United Kingdom; 24 September 2012 through 28 September 2012
URI: http://doi.org/10.1007/978-3-642-33486-3_51
http://hdl.handle.net/11147/6797
ISSN: 0302-9743
1611-3349
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection

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