A Comparative Study on Various Approaches and Complexities of Text Summarization

Authors

  • Pramoda Devi B, Jagadish S Kallimani

Abstract

In today’s digitalized world web is having at most information for users, additional to that newspaper, textbook and magazine are offline resource of information. Web consist of million and billions of resources in the form of documentsin additional to that many documents in different domain are adding to it, thus data is growing exponentially. To understand and assimilate this data many applications of natural language processing came to existence namely, Text mining, Information Retrieval, Machine Translation, Question and answering, text summarization and many more. Research on text summarization started over seven decades and till now effective method or system is not available to generate summary as human. In this paper, surveys the recent literature on different automatic text summarization method and propose idea of abstractive text summarization form orphologically rich language, kannada which is still lacking in field of text summarization.

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Published

2020-05-18

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Section

Articles