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Phase I In essence we convert the document to a forward graph , each node is a sentence. Edges are labelled with weights (Weights are calculated based on vector space model which amounts to similarity) . Phase II Then we run Google pagerank algorithm iteratively (typically 5 iterations were enough for convergence) which assigns scores to nodes (i.e sentences). We sort the sentences and choose the top 'n' sentences as the summary.

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