nlp-stuff

Some nlp stuff.

Includes a Naive Bayes Classifier implementation using a generated dataset from my very own crawler. I have trained a model that predicts the news category given a news title.

Includes an implemention of word2vec. Using the respective dataset and word2vec by gensim, I have trained a model that predicts the proximity between words, among other stuff.

Includes a native bigram model builder logic. This model is trained on a simpsons dialogue dataset to predict the next word given the first one.