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Performance Evaluation Measures for Text Mining

Hanna Suominen, Sampo Pyysalo, Marketta Hiissa, Filip Ginter, Shuhua Liu, Dorina Marghescu, Tapio Pahikkala, Barbro Back, Helena Karsten, Tapio Salakoski, Performance Evaluation Measures for Text Mining. In: Min Song, Yi-Fang Wu (Eds.), Handbook of Research on Text and Web Mining Technologies, 2, 724–747, IGI Global, 2008.

Abstract:

The purpose of this chapter is to provide an overview of prevalent
measures for evaluating the quality of system output in seven key text
mining task domains. For each task domain, a selection of widely used,
well applicable measures is presented, and their strengths and
weaknesses are discussed. Performance evaluation is essential for text
mining system development and comparison, but the selection of a
suitable performance evaluation measure is not a straightforward task.
Therefore this chapter also attempts to give guidelines for measure
selection. As measures are under constant development in many task
domains and it is important to take the task domain characteristics and
conventions into account, references to relevant performance evaluation
events and literature are provided.


BibTeX entry:

@INBOOK{cSuPyHiGiLiMaPaBaKaSa08b,
  title = {Performance Evaluation Measures for Text Mining},
  booktitle = {Handbook of Research on Text and Web Mining Technologies},
  author = {Suominen, Hanna and Pyysalo, Sampo and Hiissa, Marketta and Ginter, Filip and Liu, Shuhua and Marghescu, Dorina and Pahikkala, Tapio and Back, Barbro and Karsten, Helena and Salakoski, Tapio},
  volume = {2},
  editor = {Song, Min and Yi-Fang Wu},
  publisher = {IGI Global},
  pages = {724–747},
  year = {2008},
}

Belongs to TUCS Research Unit(s): Turku BioNLP Group, Data Mining and Knowledge Management Laboratory, Health and Medical Informatics Institute, Zeta Emerging Technologies

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