Creating Word Vectors with word2vec and reduce dimensionality using TSNE and Visualizing it using Bokeh

Word embeddings are a modern approach for representing text in natural language processing. Embedding algorithms like word2vec and GloVe are key to the state-of-the-art results achieved by neural network models on natural language processing. In this blog, I will show how to train and load word embedding models for natural language processing applications in Python … Continue reading Creating Word Vectors with word2vec and reduce dimensionality using TSNE and Visualizing it using Bokeh