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Please use this identifier to cite or link to this item: http://drsr.daiict.ac.in//handle/123456789/401
Title: SMS query processing for information retrieval
Authors: Majumder, Prasenjit
Shinghal, Khushboo
Keywords: Natural language processing
Search engines
Programming
Information retrieval
Querying
Automatic data processing
Information storage
Retrieval systems
Issue Date: 2012
Publisher: Dhirubhai Ambani Institute of Information and Communication Technology
Citation: Shinghal, Khushboo (2012). SMS query processing for information retrieval. Dhirubhai Ambani Institute of Information and Communication Technology, viii, 37 p. (Acc.No: T00364)
Abstract: SMS text messaging is one of the fast and popular communication mode on mobile phones these days. This study presents a query processing system for information retrieval system when queries are Short-message-Service (SMS). SMS contains various user improvisation and typographical errors. Proposed approach uses approximate string matching techniques and context extraction to normalize SMS queries with minimum linguistic resources. We have tested the system on FIRE 2011 SMS based FAQ retrieval corpus. Results seems encouraging
URI: http://drsr.daiict.ac.in/handle/123456789/401
Appears in Collections:M Tech Dissertations

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