Corporate vitality insight: strategic evaluation and analysis through NLP
Date
2025-01
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
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.
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
