Treffer: Stemming algorithms : a case study for detailed evaluation
Title:
Stemming algorithms : a case study for detailed evaluation
Authors:
Source:
Evaluation of information retrieval systemsJournal of the American Society for Information Science. 47(1):70-84
Publisher Information:
New York, NY: John Wiley & Sons, 1996.
Publication Year:
1996
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Algorithme, Algorithm, Algoritmo, Analyse langage, Language analysis, Análisis lenguaje, Concordance forme, Pattern matching, Essai, Test, Ensayo, Etude expérimentale, Experimental study, Estudio experimental, Evaluation performance, Performance evaluation, Evaluación prestación, Evaluation système, System evaluation, Evaluación sistema, Système documentaire, Document retrieval system, Sistema recuperación documental, Lemmmatisation, Stemming, Orienté mot, Word oriented
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Rank Xerox Research Centre, 38240 Meylan, France
ISSN:
0002-8231
Rights:
Copyright 1996 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation
FRANCIS
FRANCIS
Accession Number:
edscal.3012888
Database:
PASCAL Archive
Weitere Informationen
The majority of information retrieval experiments are evaluated by measures such as average precision and average recall. Fundamental decisions about the superiority of one retrieval technique over another are made solely on the basis of these measures. We claim that average performance figures need to be validated with a careful statistical analysis and that there is a great deal of additional information that can be uncovered by looking closely at the results of individual queries. This article is a case study of stemming algorithms which describes a number of novel approaches to evaluation and demonstrates their value.