feat: enable to use train_classifier.py without pre-trained word2Vec

A major problem before this was that retraining the classifier required a 3.5 GB pre-trained word2Vec300 model from Google. This update adds pickled word2Vec mappings only for the words in our dataset. This lets retrain the classifier without the full Google model.

Author: AlexKirko