Little Words Can Make a Big Difference for Text Classification.

Ellen Riloff: Little Words Can Make a Big Difference for Text Classification. SIGIR 1995: 130-136

@inproceedings{DBLP:conf/sigir/Riloff95,
  author    = {Ellen Riloff},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Little Words Can Make a Big Difference for Text Classification},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {130-136},
  ee        = {db/conf/sigir/Riloff95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Most information retrieval systems use stopword lists and stemming algorithms. However, we have found that recognizing singular and plural nouns, vexb forms, negation, and prepositions can produce dramatically different text classification results. We present results from text classification experiments that compare relevancy signatures, which use local linguistic context, with corresponding indexing terms that do not. In two different domains, relevancy signatures produced better results than the simple indexing terms. These experiments suggest that stopword lists and stemming algorithms may remove or conflate many words that could be used to create more effective indexing terms.

Copyright © 1995 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

ACM SIGMOD Anthology

CDROM Version: Load the CDROM "Volume 2 Issue 3, SIGIR, DASFAA'97, OODBS'86" and ...

Windows: Click the letter of your CD drive
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Mac: Click here
UNIX/LINUX: mount the CD and click on the path of your mount point:
/Anthology/An2-3 or /cdrom

DVD Version: Load ACM SIGMOD Anthology DVD 1" and ...

Windows: Click the letter of your CD drive
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Mac: Click here
UNIX/LINUX: mount the DVD and click on the path of your mount point:
/Anthology/aDVD1 or /dvd

BibTeX

Printed Edition

Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
Contents BibTeX

Online Edition: ACM Digital Library

Citation page

Referenced by

Jeffrey A. Goldman, Douglas Stott Parker Jr., Wesley W. Chu: Knowledge Discovery in an Earthquake Text Database: Correlation between Significant Earthquakes and the Time of Day. SSDBM 1997: 12-21

BibTeX

ACM SIGMOD Anthology - DBLP: [Home | Search: Author, Title | Conferences | Journals]