Corporate vitality insight: strategic evaluation and analysis through NLP

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Date

2025-01

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BRAC University

Abstract

The 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.

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Cataloged from PDF version of thesis.
Includes bibliographical references (pages 69-72).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2025.

Keywords

Company evaluation, Stock market analysis, Financial insight, Natural language processing, Machine learning

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