martinpella/twitter-airlines
Sentiment Analysis on tweets from US airlines customers
Implements multi-class sentiment classification (positive, negative, neutral) using traditional ML pipelines with TF-IDF vectorization and logistic regression on a labeled dataset of airline customer tweets. The project includes data preprocessing, feature engineering, and model evaluation metrics, with a focus on handling class imbalance common in social media sentiment data.
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Apr 09, 2018
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