DocumentCode :
166526
Title :
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
Link To Document :
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