This paper investigates on sentence extraction based single Document summarization. It saves time in our daily work once we get summarized data. Today there are so many Documents, articles, papers and reports available in digital form, but most of them lack summaries. Automatic text Summarization is a technique where a computer summarizes a text. A text is given to the computer and the computer returns a required extract of the original text document. Our methods on the sentence extraction-based text summarization task use the graph based algorithm to calculate importance of each sentence in document and most important sentences are extracted to generate document summary. These extraction based text summarization methods give an indexing weight to the document terms to compute the similarity values between sentences

NLP Summarization Sentence Ranking