Paper Title
FINANCIAL STATEMENT ANALYSIS OF INDIAN BANK]
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Authors
Keywords
NLP, Data visualization, Date manipulation, NER, Matplotlib, Plotly Express
Abstract
The banking sector in India has witnessed remarkable growth and profitability over the past decade, playing a pivotal role in driving the country's economic development. This sector's expansion and accessibility have significantly contributed to the overall economic progress. The increasing customer base, especially with public sector banks, has led to a transformational shift in the industry landscape. This study delves into the intricacies of financial statement analysis within the Indian banking sector, employing advanced data processing techniques and analytical methods to derive meaningful insights. By focusing on key metrics such as liquidity, profitability, and risk assessment, this research aims to contribute valuable insights to stakeholders, regulators, and investors in understanding and evaluating Indian banks' financial statements. This research paper presents a novel approach utilizing Streamlit, Pandas, Nlp, Plotly Express, and Spacy for performing in-depth analysis of bank statements. The objective is to develop a user-friendly and insightful Bank Statement Analyzer tool that leverages advanced data processing techniques and visualization tools to extract meaningful insights from financial data
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How To Cite (APA)
Jay Panchal (April-2024). FINANCIAL STATEMENT ANALYSIS OF INDIAN BANK]. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), h46-h49. https://ijnrd.org/papers/IJNRD2404706.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : h46-h49
Other Publication Details
Paper Reg. ID: IJNRD_219573
Published Paper Id: IJNRD2404706
Downloads: 000122253
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Delhi, DELHI, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404706.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404706
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