Spam-Classifier

Public

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

bag-of-words count-vectorizer decision-tree-classifier embeddings logistic-regression lstm-neural-networks multinomial-naive-bayes naive-bayes-classifier porter-stemmer sms-spam-detection

Creat：2020-05-27T02:12:20

Update：2021-10-09T15:33:46

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