An Approach to Single Documnent Text Summarization & Simplification
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
Abstract: The amount of information available on the internet is increasing day by day which is leading to information overload. For more information than can realistically be digested is available on the World-Wide Web and in other electronic forms. News information, biographical information, minutes of meetings missed, it isn't possible to read everything one would want to read and so some form of information condensation is needed. Summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. Somplification os done to append meanings of the nouns so as to facilitate the easy reading and understanding of the text by the user. In this summarization. the input text document is divided into two parts informative & non informative and summarizing and simplifying them individually. It uses the NLTK tagger to tag the words and get their parts of speech. The nouns in the informative sentences were simplified using WorldNet. In order to summarize and simplify non-informative sentences keyword selection approach was used. Finally, the two files obtained after summarizing and simplifying were merged together to obtain the output file.
Authors and Affiliations
Shubhangi C. Tirpude
Keywords
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- DOI 10.9790/0661-16324249
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