Automatic text summarizer

Author

Patil, Annapurna P. ; Dalmia, Shivam ; Abu Ayub Ansari, Syed ; Aul, Tanay ; Bhatnagar, Vishal

Author_Institution

Dept. of Comput. Sci., M.S. Ramaiah Inst. of Technol., Bangalore, India

fYear

2014

fDate

24-27 Sept. 2014

Firstpage

1530

Lastpage

1534

Abstract

In today´s fast-growing information age we have an abundance of text, especially on the web. New information is constantly being generated. Often due to time constraints we are not able to consume all the data available. It is therefore essential to be able to summarize the text so that it becomes easier to ingest, while maintaining the essence and understandability of the information. We aim to design an algorithm that can summarize a document by extracting key text and attempting to modify this extraction using a thesaurus. Our main goal is to reduce a given body of text to a fraction of its size, maintaining coherence and semantics.

Keywords

Internet; text analysis; World Wide Web; automatic text summarizer; document summarization; key text extraction; thesaurus; Algorithm design and analysis; Context; Databases; Laboratories; Manufacturing; Technological innovation; Thesauri; Abstraction; Automatic Summarization; Extraction; Graph-based; Synonyms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4799-3078-4

Type

conf

DOI

10.1109/ICACCI.2014.6968629

Filename

6968629