DSSM with text hashing technique for text document retrieval in next-generation search engine for big data and data analytics

H. S. Chiranjeevi, K. Manjula Shenoy, Srikanth Prabhu, Syam Sundhar

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

3 Citations (Scopus)

Abstract

Digital world is coming, were data as become big data with ever increase in large volume of digital information available in terms of text documents. This tends for data extraction, enrichment, analysis and retrieval of text documents which are in the form of unstructured nature becomes a major problem in search engine. Traditionally text documents are the source of storing our information; either personal or professional. Today text documents are generating at very high speed, and need to be process the data on-time to upgrade the search engine. It is also important for organizations including private and public which have been collecting large volume of domain-specific text document information, which may contain national intelligence, education, medical information, business and marketing. In this paper we present a system that enriches the information retrieval process of text documents in search engine from unstructured data and bringing the big data and data analytics world into educational sector and make the best of both worlds by using the latest cutting edge technology deep-structured semantic modeling with text hashing and proposing a next generation search engine.

Original languageEnglish
Title of host publicationProceedings of 2nd IEEE International Conference on Engineering and Technology, ICETECH 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages395-399
Number of pages5
ISBN (Electronic)9781467399166
DOIs
Publication statusPublished - 15-09-2016
Event2nd IEEE International Conference on Engineering and Technology, ICETECH 2016 - Coimbatore, India
Duration: 17-03-201618-03-2016

Conference

Conference2nd IEEE International Conference on Engineering and Technology, ICETECH 2016
CountryIndia
CityCoimbatore
Period17-03-1618-03-16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Chiranjeevi, H. S., Manjula Shenoy, K., Prabhu, S., & Sundhar, S. (2016). DSSM with text hashing technique for text document retrieval in next-generation search engine for big data and data analytics. In Proceedings of 2nd IEEE International Conference on Engineering and Technology, ICETECH 2016 (pp. 395-399). [7569283] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICETECH.2016.7569283