Web queries classification based on the syntactical patterns of search types

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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. © Springer International Publishing AG 2017.
Original languageEnglish
Title of host publicationSpeech and Computer
Subtitle of host publication19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, Proceedings
EditorsAlexey Karpov, Rodmonga Potapova, Iosif Mporas
Volume10458 LNAI
ISBN (Electronic)978-3-319-66429-3
ISBN (Print)978-3-319-66428-6
Publication statusPublished - Sept 2017
Event19th International Conference on Speech and Computer - University of Hertfordshire, Hatfield, United Kingdom
Duration: 12 Sept 201716 Sept 2017
Conference number: 19th

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Speech and Computer
Abbreviated titleSPECOM 2017
Country/TerritoryUnited Kingdom
Internet address


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