Deep Learning_ Natural Language Processi.epub

Deep Learning: Natural Language Processing in Python Word2Vec and Word Embeddings in Python and Theano By: The LazyProgrammer ( https://lazyprogrammer.me ) Introduction Chapter 1: Word Embeddings Chapter 2: TF-IDF with t-SNE Experiment Chapter 3: Word2Vec Simple Bigram Prediction Chapter 4: CBOW and Skip-Gram Chapter 5: Negative Sampling Chapter 6: Word2Vec in Numpy Chapter 7: Word2Vec in Theano Conclusion Introduction Word2Vec is a set neural network algorithms that have gotten a lot of attention in recent years as part of the re-emergence of deep learning in AI. The idea that one can represent words and concepts as vectors is not new. The ability to do it effectively and generate noteworthy results is. Word2Vec algorithms are especially interesting because they allow us to perform arithmetic on the word vectors that yield both surprising and satisfying results. We call these “word analogies”. Some popular word analogies Word2Vec is capable of finding: “King” is to “Man” as “Queen” is to “Woman”. “France” is to “Paris” as “Italy” is to “Rome”. “December” is to “November” as “July” is to “June......