Every research paper falls within some specific subject areas called domains of a larger scientific field. In this paper, we present a technique for effectively mining scientific research papers for key domain areas. We combine techniques from natural language processing and machine learning to create a unique method for extracting such domains. Using preposition disambiguation helps us infer the meaning of words or phrases based on their placement within text. Combining this knowledge with supervised learning such as using a Naive Bayes classifier helps us to classify phrases as domain areas within a scientific field. Thus in essence, our technique derives meaning from text and contributes effectively to the field of text analytics.
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