Determination of Text Summary Using Morphological Filtering of Intuitionistic Fuzzy Hypergraph

Mohanan, Dhanya Prabhasadanam and Rao, Sreekumar Ananda and Madambi, Jathavedan and Balakrishna, Ramkumar Padinjarepizharath (2021) Determination of Text Summary Using Morphological Filtering of Intuitionistic Fuzzy Hypergraph. In: Current Topics on Mathematics and Computer Science Vol. 11. B P International, pp. 45-65. ISBN 978-93-91882-93-8

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Text Summarization has been an area of interest for many years. It refers to creating a concise text of a document without any lose of information. Researchers in the area of natural language processing have developed many abstractive and extractive methods for creating summary. Abstractive summaries modifies the sentences and creates a modified concise form, while extractive summaries pick relevant sentences. The extractive method used in this work is a novel one which models the document as an Intuitionistic Fuzzy Hypergraph (IFHG). The main objectives of the work are to convert a document in to an IFHG, apply morphological operations to it and to create a summary filter. This is the premier work which applies morphological operations on IFHG that is modeled on a text. The method has generated summary which is almost similar to a human generated summary and showed more accuracy when compared with other machine generated summaries. An attempt to apply skelton operation on text hypergraph is also made.

Item Type: Book Section
Subjects: Eprints STM archive > Mathematical Science
Depositing User: Unnamed user with email admin@eprints.stmarchive
Date Deposited: 27 Oct 2023 04:54
Last Modified: 27 Oct 2023 04:54

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