TY  - JOUR
AU  - Mohanan, Dhanya Prabhasadanam 
AU  - Rao, Sreekumar Ananda 
AU  - Madambi, Jathavedan 
AU  - Balakrishna, Ramkumar Padinjarepizharath 
PY  - 2018
TI  - Text Summarization Using Morphological Filtering of Intuitionistic Fuzzy Hypergraph
JF  - Journal of Computer Science
VL  - 14
IS  - 6
DO  - 10.3844/jcssp.2018.837.853
UR  - https://thescipub.com/abstract/jcssp.2018.837.853
AB  - 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 study is a novel one which models the document as an Intuitionistic Fuzzy Hypergraph (IFHG). This IFHG is subjected to morphological filtering in order to create a concise summary. 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.