In this video, we'll use a Game of Thrones dataset to create word vectors. Then we'll map these word vectors out on a graph and use them to tell us related words that we input. We'll learn how to process a dataset from scratch, go over the word vectorization process, and visualization techniques all in one session.
Code for this video:
https://github.com/llSourcell/word_vectors_game_of_thrones-LIVE
Join us in our Slack channel:
http://wizards.herokuapp.com/
More learning resources:
https://www.tensorflow.org/tutorials/word2vec/
https://radimrehurek.com/gensim/models/word2vec.html
https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words
http://sebastianruder.com/word-embeddings-1/
http://natureofcode.com/book/chapter-1-vectors/
Please subscribe. And like. And Comment. That's what keeps me going.
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
