Test model for summarizing hindi text using extraction method

As amount of information available on the web is getting double day by day which is leading to information overload. To find important and useful information is becoming difficult. Automatic summary generation technique addresses the issue of generating shortened information from documents written o...

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Bibliographic Details
Published in2013 IEEE Conference on Information and Communication Technologies pp. 1138 - 1143
Main Authors Thaokar, Chetana, Malik, Latesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Biological cells
Conferences
Feature extraction
Genetic algorithms
Pragmatics
Sociology
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ISBN9781467357593
1467357596
DOI10.1109/CICT.2013.6558271

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Summary:As amount of information available on the web is getting double day by day which is leading to information overload. To find important and useful information is becoming difficult. Automatic summary generation technique addresses the issue of generating shortened information from documents written on the same topic. This systems are most interested and attractive research areas. It offers a possibility of finding main points of texts and so user can spend less time on reading whole document. This Paper discusses the idea to summarize Hindi text documents using sentence extraction method. It uses Hindi Wordnet to tag appropriate POS of word for checking SOV of the sentence. It also uses genetic algorithm to optimize the summary generated based on the text feature terms which will cover maximum theme with less redundancy.
ISBN:9781467357593
1467357596
DOI:10.1109/CICT.2013.6558271