An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers

  • Mus’ab Husaini
  • Ahmet Koçyiğit
  • Dilek Tapucu
  • Berrin Yanikoglu
  • Yücel Saygın
Conference paper

DOI: 10.1007/978-3-642-33486-3_51

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7524)
Cite this paper as:
Husaini M., Koçyiğit A., Tapucu D., Yanikoglu B., Saygın Y. (2012) An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers. In: Flach P.A., De Bie T., Cristianini N. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2012. Lecture Notes in Computer Science, vol 7524. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mus’ab Husaini
    • 1
  • Ahmet Koçyiğit
    • 1
  • Dilek Tapucu
    • 1
    • 2
  • Berrin Yanikoglu
    • 1
  • Yücel Saygın
    • 1
  1. 1.Faculty of Engineering and Natural SciencesSabancı UniversityIstanbulTurkey
  2. 2.Dept. of Computer EngineeringIzmir Institute of TechnologyIzmirTurkey

Personalised recommendations