Clustering For Research Based Projects Using Ontological Text Mining
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
This paper describes the software infrastructure (or product) which provides an overall description of research project being selection for government and private research funding agencies is an important task. When a large number of research proposals are received, they are grouped according to their similarities and requirements. These grouped projects are then taken under review. The current method is to group these projects manually with keyword referencing or field referencing. The major defect with this method is the interpretation of the concept due to human error. Text-mining methods have been proposed to solve the problem by automatically classifying text documents, mainly in English. However, these methods have limitations when dealing with non-English language texts.
Authors and Affiliations
Bhagyashree . D. Shendkar, Mitesh Dave, Sagar Dave, Santosh Kshirsaga, Shreyas Puranik, Viresh Parkhe
Keywords
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