Features Selection and Weight learning for Punjabi Text Summarization
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2011 by IJETT Journal|
|Year of Publication : 2011|
|Authors :Vishal Gupta, Gurpreet Singh Lehal|
Vishal Gupta, Gurpreet Singh Lehal."Features Selection and Weight learning for Punjabi Text Summarization". International Journal of Engineering Trends and Technology (IJETT),V2(2):45-48 Sep to Oct 2011. ISSN:2231-5381. www.ijettjournal.org. Published by Seventh Sense Research Group.
This paper concentrates on features selection and weight learning for Punjabi Text Summarization. Text Summarization is condensing the source text into a shorter version preserving its information content. It is the process of selecting important sentences from the original document and concatenating them into shorter form. The importance of sentences is decided based on statistical and linguistic features of sentences. For Punjabi l anguage text Summarization, some of statistical features that often increase the candidacy of a sentence for inclusion in summary are: Sentence length feature, Punjabi Keywords selection feature (TF - ISF approach) and number feature. Some of linguistic feat ures that often increase the candidacy of a sentence for inclusion in summary are: Punjabi sentence headline feature, next line feature, Punjabi noun feature, Punjabi proper noun feature, common English - Punjabi noun feature, cue phrase feature and presence of title keywords in a sentence. Mathematical regression is used to estimate the text feature weights based on fuzzy scores of sentences of 50 Punjabi news documents.
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Summarization features, Statistical features, Linguistic features, Weight le arning.