Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  present a method for the computation of novel 'ideas' from corpora of scientific text. The system functions by first detecting concept noun-phrases within the titles and abstracts of publications using Part-Of-Speech tagging, before classifying these into sets of problem and solution phrases via a target-word matching approach. By defining an idea as a co-occurring $$ $$ pair, known-idea triples can be constructed through the additional assignment of a relevance value computed via either phrase co-occurrence or an 'idea frequency-inverse document frequency' score. The resulting triples are then fed into a collaborative filtering algorithm, where problem-phrases are considered as users and solution-phrases as the items to be recommended. The final output is a ranked list of novel idea candidates, which hold potential for researchers to integrate into their hypothesis generation processes. This approach is evaluated using a subset of publications from the journal Science, with precision, recall and F-Measure results for a variety of model parametrizations indicating that the system is capable of generating useful novel ideas in an automated fashion.
['Haixia Liu', 'James Goulding', 'Tim J. Brailsford']
I am writing a research paper on a idea Towards Computation of Novel Ideas from Corpora of Scientific Text
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