Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some ighting mechanism and combining them into a summary. In this article  use Latent Dirichlet Allocation to capture the events being covered by the documents and form the summary with sentences representing these different events. Our approach is distinguished from existing approaches in that  use mixture models to capture the topics and pick up the sentences without paying attention to the details of grammar and structure of the documents. Finally  present the evaluation of the algorithms on the DUC 2002 Corpus multi-document summarization tasks using the ROUGE evaluator to evaluate the summaries. Compared to DUC 2002 winners, our algorithms gave significantly better ROUGE-1 recall measures.
['R. Arora', 'Balaraman Ravindran']
I am writing a research paper on a idea Latent dirichlet allocation based multi-document summarization
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