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An Indonesian SMS Classifier Model. Classifies SMS into 3 categories: Normal Message, Promotional Message, and Spam Message

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Indonesian SMS Classifier

Scripts to create a model to be used as an SMS classifier. This classifier is uses NLTK for string processing. Scikit-learn, Tensorflow and Keras for text classification.

We couldn't have assembled this rhetoric scoring model without the help of some awesome creators on the internet.

Credits to: Harrison Kinsley a.k.a sentdex, Laurence Moroney and Eduonix

Tutorials and Code from them below:
Sentdex, tutoring how to use NLTK with Python 3 for Natural Language Processing:
https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL
Eduonix, on Projects In Machine Learning | NLP for Text Classification with NLTK & Scikit-learn video:
https://www.youtube.com/watch?v=G4UVJoGFAv0
Laurence Moroney, Text Classification Tutorial (Coding TensorFlow):
https://www.youtube.com/watch?v=BO4g2DRvL6U

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An Indonesian SMS Classifier Model. Classifies SMS into 3 categories: Normal Message, Promotional Message, and Spam Message

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