2020•Journal of Critical ReviewsOpen access

TAXONOMY ON DOCUMENT SUMMARIZATION METHODS, TOOLS AND OPPORTUNITY

Muntagodu Shreekanth Sowmya, Rayavarapu Lakshmi Narasimha Dinesh

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Abstract

In the current age, internet is formed of incredible information, it is very much needed to bring a better way to gather the information faster and proficient. For a human being it is not an easy job to manually write the summary for a large text document. Internet as ample text materials available in it. So, it is difficult to search for relevant document from N document in different sources in internet. In order to solve these problems, the there is need to automate text summarization. Text summarization is the procedure to find the most important meaningful data in set of documents and to reduce them into a brief version preserving its overall denotations. Here, we highlight the different document summarization methods existing in literature, the tools that does this summarization and the scope that shows us the limitation and possibilities in enhancing the accuracy of the results of those methods.

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What this paper is about

In the current age, internet is formed of incredible information, it is very much needed to bring a better way to gather the information faster and proficient. For a human being it is not an easy job to manually write the summary for a large text document. Internet as ample text materials available in it. So, it is difficult to search for relevant document from N document in different sources in internet. In order to solve these problems, the there is need to automate text summarization. Text summarization is the procedure to find the most important meaningful data in set of documents and to reduce them into a brief version preserving its overall denotations. Here, we highlight the different document summarization methods existing in literature, the tools that does this summarization and the scope that shows us the limitation and possibilities in enhancing the accuracy of the results of those methods.

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Available abstract

In the current age, internet is formed of incredible information, it is very much needed to bring a better way to gather the information faster and proficient. For a human being it is not an easy job to manually write the summary for a large text document. Internet as ample text materials available in it. So, it is difficult to search for relevant document from N document in different sources in internet. In order to solve these problems, the there is need to automate text summarization. Text summarization is the procedure to find the most important meaningful data in set of documents and to reduce them into a brief version preserving its overall denotations. Here, we highlight the different document summarization methods existing in literature, the tools that does this summarization and the scope that shows us the limitation and possibilities in enhancing the accuracy of the results of those methods.

Key concepts: Automatic summarization, Computer science, Multi-document summarization, The Internet, Information retrieval, Scope (computer science), Set (abstract data type), Taxonomy (biology)

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