https://github.com/sarahloree/project-6---stock-market-news-sentiment-analysis-summarization
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.
https://github.com/sarahloree/project-6---stock-market-news-sentiment-analysis-summarization
glove-embeddings gradientboosting hyperparameter-optimization llms naturallanguageprocessing parameter-tuning sentencetransformerembeddings sentiment-analysis sentiment-classification summarization-algorithm word2vec-embeddinngs
Last synced: 3 days ago
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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.
- Host: GitHub
- URL: https://github.com/sarahloree/project-6---stock-market-news-sentiment-analysis-summarization
- Owner: sarahloree
- Created: 2025-01-07T15:02:32.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-01-15T01:51:32.000Z (9 months ago)
- Last Synced: 2025-01-15T03:13:16.642Z (9 months ago)
- Topics: glove-embeddings, gradientboosting, hyperparameter-optimization, llms, naturallanguageprocessing, parameter-tuning, sentencetransformerembeddings, sentiment-analysis, sentiment-classification, summarization-algorithm, word2vec-embeddinngs
- Language: Jupyter Notebook
- Homepage:
- Size: 1.81 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Project-6---Stock-Market-News-Sentiment-Analysis-Summarization
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.