Automatic Text Summarization
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The amount of data available to us both online and offline is growing extremely and due to this summarization became increasingly importantover the past few years. Automatic Summarization is the process of reducing a document to a small document called summary that containsthe significant or key points of the original document. Automatic Text Summarization is broadly classified into two categories i.e Extractive Summarization and Abstractive Summarization. Extractive Summary is a subset of the original document that represents important data contained in the document. An abstractive summary may contain some novel sentences that are not present in the whole document. In this context we are working on extractive summarization where we are including important sentences from the document in the summary with limited length. Automatic summarization is a technique by which the data is extracted and shorten from text document by the use of software .
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[2] Paul Compton,et al. Combining Different Summarization Techniques for Legal Text , 2012 .