Date of Publication :13th April 2018
Abstract: Due to plenty of provided detailed fact, figures and data on information server and “information overload†is becoming an issue for people. It has always been a herculean task to summarize and sort mountains of documents manually and a time-consuming job to generate a summary keeping all semantics in consideration. Hence, automatic text summarization can be the key solution for this problem. Text summarization provides an apparatus for quick understanding the collection of text documents and has plenty of real-life applications. This solution of summarization facility will help users to see at a glance what a collection of the text document is about and provides a new way of managing a huge accumulation of information. There is much proficiency in doing text summarization, some are extractive and some are abstractive techniques. But we need that approach which will give the significant summary without airing any redundancy or any type of ambiguity even if the summary does not contain any fragment of the original document. This paper is provided with few of these approaches which are preferable to obtain more efficient and accurate summary of the original document.
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