A Meticulous Approach for Extractive based Hindi Text Summarization using Genetic Algorithm

Gunjan Pareek, Deepa Modi
2017 Anidhya Athaiya International Journal of Innovations & Advancement in Computer Science IJIACS   unpublished
Due to the rapid growth of technology and Internet, online information is overloaded on the web. Therefore it is very difficult to search useful information from the heap of data. Automatic text summarization (ATS) is an approach which, condenses the heap of data into useful information that minimizes user time on reading the whole document. In this paper, a technique is proposed for ATS for Hindi language text by using sentence extraction method. Various statistical and linguistic features are
more » ... uistic features are used to extract meaningful sentences from the source text. It uses a genetic algorithm to optimize generated the summary that covers maximize information with less duplication.
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