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model-training-and-tuning

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DavidOgalo / Twitter-Sentiment-Analysis

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Developed a sentiment analysis model to measure tweet positivity across regions using advanced NLP techniques. This project involved data preprocessing, feature engineering with TF-IDF and Doc2Vec, and training supervised machine learning models. Performance was validated using cross-validation and metrics like accuracy and precision

machine-learning natural-language-processing cross-validation performance-metrics data-preprocessing feature-engineering model-evaluation model-training-and-tuning
  • Updated Jun 5, 2024
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