Title :
A pioneering tool for text summarization using star map
Author :
Kalaiselvan, M. ; Kathiravan, A. Vijaya
Author_Institution :
Gov. Arts Coll., Salem, India
Abstract :
Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very difficult for human beings to manually summarize large documents of text. The text summarization method consists of selecting important sentences, paragraphs etc. from the original document and converting them into a star map. The importance of sentences is decided based on statistical and linguistic features of sentences. A star map summarization method consists of understanding the original text and re-telling it in fewer words. This star map is used for duplicate elimination, exam paper evaluator, lesson planning, Identify Shingling. A Pioneering Tool For Text Summarization using Star Map has been presented.
Keywords :
computer aided instruction; text analysis; document summarization; duplicate elimination; exam paper evaluator; information content; information meaning; lesson planning; linguistic feature; paragraph; plagiarism identification; sentence; shingling identification; star map summarization method; statistical feature; text summarization; Data structures; Educational institutions; Feature extraction; Hidden Markov models; Informatics; Mobile communication; Pattern recognition; Hit value identification; Star map; Stop word removal; Text Summarization; Tokenization; indexing;
Conference_Titel :
Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on
Conference_Location :
Salem
Print_ISBN :
978-1-4673-5843-9
DOI :
10.1109/ICPRIME.2013.6496486
