Some useful scripts for Natural Language Processing in Python.
- Intro to NLTK: Examples of Tokenization, Text Normalization, Similarity, POS Tagging, WordNet and Disambiguation using primarily NLTK library.
- NLP Pipeline for SPAM: Example of Scikit-Learn Machine Learning Pipeline implementation for classifying SPAM
- LSTM for Spam (Keras): Using Keras to implement simple text-related architectures. (Plain LSTM and LSTM with 1D Convolution)
More to come ( ￣ー￣)σ