Query log analysis with GALATEAS LangLog

  • Authors:
  • Marco Trevisan;Luca Dini;Eduard Barbu;Igor Barsanti;Nikolaos Lagos;Frédérique Segond;Mathieu Rhulmann;Ed Vald

  • Affiliations:
  • CELI;CELI;Università di Trento;Gonetwork;Xerox Research Centre Europe;Objet Direct;Objet Direct;Bridgeman Art Library

  • Venue:
  • EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2012

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Abstract

This article describes GALATEAS LangLog, a system performing Search Log Analysis. LangLog illustrates how NLP technologies can be a powerful support tool for market research even when the source of information is a collection of queries each one consisting of few words. We push the standard Search Log Analysis forward taking into account the semantics of the queries. The main innovation of LangLog is the implementation of two highly customizable components that cluster and classify the queries in the log.