Multi-document Extraction Text Summarization via Whale Swarm Optimization

Multi-document Extraction Text Summarization via Whale Swarm Optimization | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Multi-document Extraction Text Summarization via Whale Swarm Optimization Bharti Sharma, Charu Gupta, Adisakshya Chauhan, Minakshi Tomer, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7533064/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In today's world, the amount of knowledge available on the web is increasing rapidly, thus making automatic text summarization an increasingly important area of research. Multiple-document summarization presents more challenges than single-document summarization does. This paper proposes a new 'whale optimization-based text summarization' for multiple documents. It uses a single objective function that uses three features: closeness to the topic, cohesion, and degree of readability. The experiments used four different benchmark datasets from the DUC-2002, DUC-2004, DUC-2006 and DUC-2007. The recall-oriented understudy for gisting evaluation (ROUGE) was used to evaluate the summarizer results. The results show that the existing summarizers in the literature were improved significantly in terms of the average ROUGE-F score by the proposed summarizer from the experimental results. Multi-document summarization Extractive summarization Whale swarm optimization Text summarizer Metaheuristic approaches Swarm algorithm DUC datasets ROUGE Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7533064","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":535038076,"identity":"4e9ca97f-918b-4156-82d1-4f804fcba1fc","order_by":0,"name":"Bharti Sharma","email":"","orcid":"","institution":"Maharaja Surajmal Institute of Technology, Guru Gobind Singh Indraprastha University","correspondingAuthor":false,"prefix":"","firstName":"Bharti","middleName":"","lastName":"Sharma","suffix":""},{"id":535038078,"identity":"52d0d523-9515-44ad-bd48-fba6127bedee","order_by":1,"name":"Charu Gupta","email":"","orcid":"","institution":"Maharaja 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