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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

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Efficient Document Annotation Using Content and Querying Value

DASARI MAHIDHAR, B.V.N.V.KRISHNA SURESH, , ,
Affiliations
M.Tech (CSE), Department of Computer Science & Engineering, NRI Institute of Technology
Assistant Professor, Department of Computer Science & Engineering, NRI Institute of Technology
:NOT ASSIGNED


Abstract
Persistently it is hard to locate the germane data in unstructured text documents. The organized data stays secured in unstructured text. Annotations as Attribute name-worth sets are more expressive for the recuperation of such documents. This system proposes a novel, particular, the alternative methodology for report recuperation which joins annotations recognizing confirmation moreover expands the ebb and flow structure using fuzzy search with vicinity positioning. This system recognizes the estimations of organized properties by scrutinizing, inspecting and parsing the exchanged documents. The searching system will make use of fuzzy search with closeness positioning for searching the customer captivated documents just. As needs are this system proposes an approach for capable file recuperation using practical routines.


Citation
DASARI MAHIDHAR,B.V.N.V.KRISHNA SURESH."Efficient Document Annotation Using Content and Querying Value". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 12,pp.931-935, December- 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I1222.pdf,


Keywords : proximity ranking, document annotation, OpenNLP, content, querying value, natural language processing, Document retrieval, instant-fuzzy search,

References
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DOI:10.22362/ijcert


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