♦️ Twitter US Airline Sentiment Analysis ♦️ Applied text preprocessing, NLP, and sentiment classification to analyze positive, neutral, and negative tweets. Created visualizations like sentiment distribution, airline comparisons, and word clouds for key insights. Delivered a cleaned dataset, insightful analysis, and automated PowerPoint report.

python machine-learning natural-language-processing naive-bayes confusion-matrix feature-engineering tokenization model-evaluation communication-skills text-vectorization python-pptx tf-idf-vectorizer classification-algorithms word-frequency-analysis wordcloud-generation programming-environment-skills stemming-lemmatization eda-skills visualization-export

• Updated Sep 18, 2025
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