Optimizing Language Models for Polarity Classification
This paper investigates the usage of various types of language models on polarity text classification – a subtask in opinion mining which deals with distinguishing between positive and negative opinions in natural language. We focus on the intrinsic benef
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Craig Macdonald Iadh Ounis Vassilis Plachouras Ian Ruthven Ryen W. White (Eds.)
Advances in Information Retrieval 30th European Conference on IR Research, ECIR 2008 Glasgow, UK, March 30-April 3, 2008 Proceedings
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Volume Editors Craig Macdonald Iadh Ounis University of Glasgow Department of Computing Science Glasgow, UK, G12 8QQ, UK E-mail: {craigm, ounis}@dcs.gla.ac.uk Vassilis Plachouras Yahoo! Research Ocata 1, 1st floor, 08003 Barcelona, Spain E-mail: [email protected] Ian Ruthven University of Strathclyde Department of Computing and Information Sciences Glasgow, UK E-mail: [email protected] Ryen W. White Microsoft Research One Microsoft Way, Redmond, WA 98052, USA E-mail: [email protected]
Library of Congress Control Number: 2008922895 CR Subject Classification (1998): H.3, H.2, I.2.3, I.2.6-7, H.4, H.5.4, I.7 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-540-78645-7 Springer Berlin Heidelberg New York 978-3-540-78645-0 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12241804 06/3180 543210
Preface
These proceedings contain the refereed technical papers and posters presented at the 30th Annual European Conference on Information Retrieval (ECIR 2008). ECIR is the annual conference of the British Computer Society’s specialist group in Information Retrieval (BCS-IRSG).
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