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Low-Resource Speech Recognition and Keyword-Spotting Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Web Queries Classification Based on the Syntactical Patterns of Search Types

Authors : Alaa Mohasseb, Mohamed Bader-El-Den, Andreas Kanavos, Mihaela Cocea

Published in: Speech and Computer

Publisher: Springer International Publishing

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Abstract

Nowadays, people make frequent use of search engines in order to find the information they need on the web. The abundance of available data has rendered the process of obtaining relevant information challenging in terms of processing and analyzing it. A broad range of web queries classification techniques have been proposed with the aim of helping in understanding the actual intent behind a web search. In this research, we have categorized search queries through introducing Search Type Syntactical Patterns for automatically identifying and classifying search engine user queries. Experiments show that our approach has a good level of accuracy in identifying different search types.

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previous chapter VoiScan: Telephone Voice Analysis for Health and Biometric Applications
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Footnotes
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Metadata
Title
Web Queries Classification Based on the Syntactical Patterns of Search Types
Authors
Alaa Mohasseb
Mohamed Bader-El-Den
Andreas Kanavos
Mihaela Cocea
Copyright Year
2017
Book
Speech and Computer

Print ISBN: 978-3-319-66428-6

Electronic ISBN: 978-3-319-66429-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66429-3_81

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