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Corporate vitality insight: strategic evaluation and analysis through NLP

bracu.type.groupStudent Works
dc.contributor.advisorSadeque, Farig Yousuf
dc.contributor.authorAhmed, Abrar
dc.contributor.authorAlam, Nusaiba
dc.contributor.authorRahman, Md. Tawhidur
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-06-16T10:06:35Z
dc.date.available2025-06-16T10:06:35Z
dc.date.copyright2025
dc.date.issued2025-01
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 69-72).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2025.en_US
dc.description.abstractThe research paper introduces a methodology and analysis paradigm for evaluating and investigating a company’s state through Machine Learning (ML) and Natural Language Processing (NLP). Going beyond traditional analytical limits, this technique provides a comprehensive assessment of a company’s health. This approach enables corporations to make smarter choices, modify their strategies, and position themselves for long-term success. Additionally, the methodology assists Financial Advisors in offering insightful client counsel, eliminating the need for manual company research. In conclusion, this research paper uses Machine Learning (ML) and Natural Language Processing (NLP) to present company health assessments, fostering smarter decisions, adapting to evolving changes, and strategy optimization to sustain success in the corporate world as it navigates the complex terrain of understanding a company’s health.en_US
dc.description.degreeBachelor of Science in Computer Science
dc.description.statementofresponsibilityAbrar Ahmed
dc.description.statementofresponsibilityNusaiba Alam
dc.description.statementofresponsibilityMd. Tawhidur Rahman
dc.format.extent72 pages
dc.identifier.otherID 21301309
dc.identifier.otherID 21301274
dc.identifier.otherID 21301308
dc.identifier.urihttp://hdl.handle.net/10361/26058
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectCompany evaluationen_US
dc.subjectStock market analysisen_US
dc.subjectFinancial insighten_US
dc.subjectNatural language processingen_US
dc.subjectMachine learningen_US
dc.subject.lcshMachine learning.
dc.subject.lcshNatural language processing (Computer science).
dc.subject.lcshComputational linguistics.
dc.subject.lcshHuman-computer interaction--Industrial applications.
dc.titleCorporate vitality insight: strategic evaluation and analysis through NLPen_US
dc.typeThesisen_US

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