/SMS_Text_Classification

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SMS_Text_Classification

In this project I created a spam or ham text classification model using LSTM.

  1. After importing the datasets, I encoded the categorical columns.
  2. Then I used nltk or Natural Language Toolkit along with re or Regular Expression to preprocess the incoming text.
  3. The model consists of one Input Layer, one Embedding Layer, one LSTM Layer, two Dense Layer and one Dropout Layer.

Finally the loss and accuracy graphs were plotted along with a function to check if the given text is SPAM or HAM and what percentage.