Telugu text summarization using histo fuzzy C-means and median support based grasshopper optimization algorithm (MSGOA) | [Journal of Theoretical and Applied Information Technology • 2022]

Author(s):

1. CHINNI BALA VIJAYA DURGA: Dr. YSR ANU College of Engineering & Technology, Department of CSE, Acharya Nagarjuna University, Nagarjuna nagar-522 510, Guntur (DT.), A.P., India.a

2. G.RAMA MOHAN BABU: RVR & JC College of Engineering, Department of CSE-AIML Chowdavaram, Guntur (DT.), A.P., India.

Abstract:

In this work, we clearly stated the text summarization. Time is taken to read the big document it's quite complex, at the same time if we summarize the same document it is easy to understand and time-saving. Here we propose the text summarization of the Telugu language. To begin, documents must go through a preprocessing procedure that includes tokenization, stop-word removal, stemming and N-gram analysis. After that, it uses Histo-Fuzzy C-means Clustering to achieve clustering, as well as a technique of sentence ranking based on weights. Finally, the Median Support Based Grasshopper Optimization Algorithm (MSGOA) is utilized to combine the phrases into a clear and succinct summary. The performance of this strategy is evaluated using an online research dataset. When compared to earlier text summarizing methods, the suggested method outperforms them. When compared to existing accuracy, the proposed method performs admirably and obtains an accuracy of 84%.

Page(s): 5418-5432

DOI: DOI not available

Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 17, Year: 2022

Keywords:

stemming , Median Support Based Grasshopper Optimization MSGO , HistoFuzzy CMeans Clustering , Telugu language Text Summarization , Preprocessing , Enthalpy

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