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Abstract-Morphological Analysis is a major component in many Natural Language Processing (NLP) applications. The performance of general purpose morphological analyzer (GMA) degrades when used for a particular domain. In this paper we present our effort in developing a domain specific morphological analyzer (DMA) whose architecture is an extension of the existing paradigm based GMA. The method involves identifying domain specific words from a raw text and assigning a paradigm class to them. The proposed method is language independent and has been tested on domain specific Hindi data. The results show 90.60% coverage which is an increase by 6% over GMA and accounts for 25.39% of unanalyzed words.