Built a model utilizing word embeddings, selecting and tuning classifiers, and llama-ccp-python large language model to analyze news data, developing an AI-driven sentiment analysis system that automatically processes and analyzes news articles to gauge market sentiment, and summarize the news at a weekly level to enhance the accuracy of the stock brokerage's stock price predictions and optimize investment strategies.
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This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.
sarahloree/Project-6---Stock-Market-News-Sentiment-Analysis-Summarization
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This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.
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