Word2Vec

Easily Access Pre-trained Word Embeddings with Gensim

What are pre-trained embeddings and why? Pre-trained word embeddings are vector representation of words trained on a large dataset. With pre-trained embeddings, you will essentially be using the weights and vocabulary from the end result of the training process done by….someone else! (It could also be you) One benefit of using pre-trained embeddings is that …

Easily Access Pre-trained Word Embeddings with Gensim Read More »

How to incorporate phrases into Word2Vec – a text mining approach

Training a Word2Vec model with phrases is very similar to training a Word2Vec model with single words. The difference: you would need to add a layer of intelligence in processing your text data to pre-discover phrases. In this tutorial, you will learn how to create embeddings with phrases without explicitly specifying the number of words …

How to incorporate phrases into Word2Vec – a text mining approach Read More »