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Large text document summarization based on an enhanced fuzzy logic approach

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Abstract

In today’s digital world, there is an enormous and exponential growth in the amount of knowledge available online. When seeking precise and pertinent information, it is very difficult for users to find exactly what they are looking for. In this paper, we propose an extractive text summarization approach that utilizes fuzzy logic to determine the relevance and importance of sentences in a multi-document such as legal documents, news articles, business articles, etc. The presented multi-document summarization approach aims to achieve good content coverage and high data richness with less redundancy. The fuzzy logic model is utilized to present a new features approach to deal with inaccurate and unpredictable featured value. Additionally, our proposed work eliminates redundant data through cosine similarity and threshold values. Our proposed approach is evaluated based on DUC2006 dataset using ROUGE evaluation metrics, and the results demonstrate its effectiveness in generating informative and quality summary. The performance of the proposed approach is compared with the existing fuzzy logic-based multi-document summarization (MDS) method and deep learning-based approach for text summarization (DLbTS). The experimental results show that our proposed approach outperforms in comparison of MDS and DLbTS by 8.30%, 3.84%, and 5.98% in terms of \(ROUGE_1\) score under precision, recall, and F-score, respectively.

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Data availability

It is standard dataset and taken from NIST organization. URL: https://www-nlpir.nist.gov/projects/duc/guidelines.html.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, 211004, India

    Avaneesh Kumar Yadav, Ranvijay Ranvijay, Rama Shankar Yadav & Vivek Kumar

Authors
  1. Avaneesh Kumar Yadav
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  2. Ranvijay Ranvijay
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  3. Rama Shankar Yadav
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  4. Vivek Kumar
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Correspondence to Avaneesh Kumar Yadav.

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Yadav, A.K., Ranvijay, R., Yadav, R.S. et al. Large text document summarization based on an enhanced fuzzy logic approach. Int. j. inf. tecnol. (2023). https://doi.org/10.1007/s41870-023-01563-6

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