Data Mining and Knowledge Engineering

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Key Word Based Word Sense Extraction in a Index for Text Files:Design Approach


Affiliations
1 K.L.E.F University, Andhra Pradesh, India
2 K.L. College of Engineering, Andhra Pradesh, India
     

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Data stored in most text documents are semi structured data and they are neither completely unstructured nor completely structured. In many cases it is often difficult to identify the word context. This paper aims at processing of text in a file in a efficient manner by removing stop words. The method presented is an effective way of processing of word so that all the details of a particular word such as context, linguistic details etc., are found.

Keywords

Context, Processing, Linguistic, Unstructured, Stop Words, Text, File.
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  • Key Word Based Word Sense Extraction in a Index for Text Files:Design Approach

Abstract Views: 175  |  PDF Views: 2

Authors

Shahana Bano
K.L.E.F University, Andhra Pradesh, India
K. Raja Sekhara Rao
K.L.E.F University, Andhra Pradesh, India
M. Sai Sandeep
K.L. College of Engineering, Andhra Pradesh, India

Abstract


Data stored in most text documents are semi structured data and they are neither completely unstructured nor completely structured. In many cases it is often difficult to identify the word context. This paper aims at processing of text in a file in a efficient manner by removing stop words. The method presented is an effective way of processing of word so that all the details of a particular word such as context, linguistic details etc., are found.

Keywords


Context, Processing, Linguistic, Unstructured, Stop Words, Text, File.