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NLP Based XTRET – Extractive Rehearse of Text
Naman Doshi, Gopi Sanghani, Rupani Tejas*

Published in: International Journal of Scientific Review and Research in Engineering and Technology
Volume- 1, Issue-2, pp.29-33, Feb 2016
DPI :-> 16.10069.IJSRRET.2016.V1I2.2933.143



Abstract
Whenever user enter query to search engine the search engine usually return a lot of document list. Now user needs to click and view that particular document, which is obvious a tedious and time consuming task. Typically document talk about different perspectives of query. If we have such kind of system that automatically generate a concise and informative summary for each perspective of the query. So if we have Query Based Summarization System, which is based on single language. It is repository oriented. In this system, user may submit the multiple documents from which user want to get summarized details based on their query. Also it gives summary of whole documents, if user don’t want summary based on query. The repository must be validated, because if repository contains wrong information then user may get wrong summary.

Key-Words / Index Term
Text Summarization, Query Based Summarization, Extractive Rehearse, Extractive Summarization, Natural Language Processing.

How to cite this article
Naman Doshi, Gopi Sanghani, Rupani Tejas* , “NLP Based XTRET – Extractive Rehearse of Text”, International Journal of Scientific Review and Research in Engineering and Technology, 1, Issue-2, pp.29-33, Feb 2016. DPI:16.10069.IJSRRET.V1.I2.143