The project uses a single a document as input(.txt) and a compresion ratio as input and generate a files that picks up significant sentences in that order from the document.
It uses natural language processing stanford POS tagger and an algoritm that on the basis of similarity and distinctiveness calculates rank of each sentence and based on the compression ratio picks up that amount of sentences.