Automatically categorizing software technologies

Dinesh Hemant Bhere; Prof.K.S.Kore; Prof.Monika Rokade

Automatically categorizing software technologies

Authors: Dinesh Hemant Bhere, Prof.K.S.Kore, Prof.Monika Rokade

Unique Paper ID: 148448
Volume: 6
Issue: 2
PageNo: 64-69

Keywords: NLP data mining Lexicography Hypernym

Abstract:
Software development is increasingly based on reusable components in the form of frames and libraries, as well as programming languages and tools to use them. Informal language and the absence of a standard taxonomy for software technologies make it difficult to reliably analyze technological trends in discussion forums and other online sites. The system proposes an automatic approach called Witt for the categorization of software technology. Witt takes as input a sentence that describes a technology or a software concept and returns a general category that describes it (for example, an integrated development environment), along with attributes that qualify it even more. By extension, the approach allows the dynamic creation of lists of all technologies of a given type. The system contribute Levenshtein distance algorithm to compare similarities between two stings. It work on character distances of two strings. With this algorithm it is possible to categorize the data from large data.

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ISSN: 2349-6002
Volume: 6
Issue: 2
PageNo: 64-69

Automatically categorizing software technologies

Available:https://ijirt.org/Article?manuscript=148448

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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