Automatic Text Summarization: Comparison of Various Techniques

Authors

  • S S R K Kiriti1, Gogineni Siri2, B Sai Priya3, S Vijaya Durga Bhavani4, Ch. Nanda Krishna5 1,2,3,4 IV/IV B Tech. 5 Professor, Department of Information Technology, VRSEC, Vijayawada, India

Abstract

Transposing through multiple and large documents can be difficult and time consuming. So, this is when the concept of text summarization came into existence. Colossal documents are generally burdensome to summarize manually. Automatic text summarization is a process which enables us to reduce text with the help of a computer program in order to produce a summary which keeps possession of most important points of the original document. Over the past years, multitudinous techniques have come into existence which performs the automatic summarization such as term frequency, inverse document frequency, sentence position, sentence length, LSA and many more. In this paper, we compare these techniques and conclude which technique executes best. Keywords: inverse document frequency, LSA, term frequency, text summarization;

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Published

2017-04-28

How to Cite

Ch. Nanda Krishna5, S. S. R. K. K. G. S. B. S. P. S. V. D. B. (2017). Automatic Text Summarization: Comparison of Various Techniques. International Journal of Engineering Technology and Computer Research, 5(2). Retrieved from https://www.ijetcr.org/index.php/ijetcr/article/view/357

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Articles