It contains a collection of more than 5 thousand SMS phone messages and Detects Spam Messages using NATURAL LANGUAGE PROCESSING ..
It basically consists of combining machine learning techniques with text, and using math and statistics to get that text in a format that the machine learning algorithms can understand!
Used these :>> 1 .Naive Bais Classifier
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After the counting, the term weighting and normalization can be done with [TF-IDF], using scikit-learn's TfidfTransformer.
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Using Pipeline ( Eventually Pipeline is sufficient )