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@article{148448,
        author = {Dinesh Hemant Bhere and Prof.K.S.Kore and Prof.Monika Rokade},
        title = {Automatically categorizing software technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {2},
        pages = {64-69},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148448},
        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.},
        keywords = {NLP, data mining, Lexicography, Hypernym},
        month = {},
        }