javedsha/text-classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Implements multiple classification algorithms (Naive Bayes, SVM, Logistic Regression) with TF-IDF vectorization and NLTK preprocessing pipelines for sentiment analysis and document categorization. Provides comparative performance benchmarking across classifiers and includes feature extraction techniques like stop word removal and stemming to optimize text representation for scikit-learn models.
293 stars. No commits in the last 6 months.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 10, 2019
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