Browsing by Author "Mehta, M."
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- ItemAnalysis of Financial News Using Natural Language Processing and Artificial Intelligence(NSBM Green University, 2018-08-25) Khant, A.; Mehta, M.The task of analysis of financial news uses state of-the-art Natural Language Processing (NLP) and Artificial Intelligence (AI) techniques. The paper demonstrates how NLP techniques can be used to provide succinct summaries, identify keywords and determine sentiment of a certain news article. These features can then be used to make informed decisions that are based on recent, relevant reports. This paper also exhibits a methodology of identifying impact investment using a Naive Bayes Classifier, which can be extended to other financial terminology. We find that the usage of NLP and AI techniques such as sentiment analysis and keyword extraction enhance the information presented in online news articles by filtering out irrelevant content.
- ItemAutomation of Scoring Creditworthiness Using Optical Character Recognition and Probability of Default Calculation Algorithms(NSBM Green University, 2018-08-25) Khant, A.; Chandran, P.; Mehta, M.The automation of determining creditworthiness requires the machine to automatically gather and analyze finan cial data. Current methods require several man hours of data entry and analysis of data to assess a single case. This paper demonstrates the usage of state-of-the-art Optical Character Recognition (OCR) and Computer Vision (CV) techniques to gather data automatically from scanned documents in a format that can be used to process and analyze data further. This paper also details the novel automation of analysis of the extracted data to find the probability of default (PD) for a specific case. We find that this process reduces the turn around time of granting loans and minimizes human interactions and biases.