DocumentCode
151481
Title
Efficiently denoising SMS text for FAQ retrieval
Author
Batra, Ruhi ; Sharma, Shantanu ; Shrivastav, Anurag ; Goyal, Puneet
Author_Institution
Dept. of Comput. Sci. & Eng., Graphic Era Univ., Dehradun, India
fYear
2014
fDate
5-6 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
Several online resources in the form of Frequently Asked Questions (FAQs) provide useful and much needed information across different domains like health, education, banking etc. Community based service has emerged as a powerful resource for information retrieval but its access is restricted to internet only.To access information without internet facility more and more people rely on Short Message Service (SMS) to get an instant answer to their query.Therefore, efforts have been put to improve the SMS based information retrieval system. The text in SMS messages are generally noisy and correcting this noisy text is one of the major challenges that affect the efficiency and accuracy of any SMS based information retrieval system. This paper provides the improvements to the existing algorithms of noise removal in SMS text to obtain better results. Experiments using different test cases show that the proposed system outperforms other methods.
Keywords
electronic messaging; query processing; text analysis; FAQ retrieval; SMS based information retrieval system; SMS messages; SMS text denoising; frequently asked questions; information access; noise removal; short message service; Databases; Dictionaries; Noise; Noise measurement; Noise reduction; Servers; Algorithms; Information retrieval; Noise removal; Short Message Service (SMS); Similarity measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-4675-4
Type
conf
DOI
10.1109/ICDMIC.2014.6954237
Filename
6954237
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