GitHub / ankurmoh / SMS-Spam-Detection
Using Multinomial Naive Bayes Classifier to classify SMS messages as SPAM or HAM. Techniques used include Count Vectorizer and Text mining using TF-IDF.
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Language: Jupyter Notebook
Size: 3.48 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: almost 5 years ago
Pushed at: almost 5 years ago
Last synced at: about 2 years ago
Topics: bayesian-methods, classification-model, count-vectorizer, nlp-keywords-extraction, nlp-machine-learning, nlp-parsing, tf-idf