Month: January 2018

FastText Word Embeddings for Text Classification with MLP and Python

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Word embeddings are widely used now in many text applications or natural language processing moddels. In the previous posts I showed examples how to use word embeddings from word2vec Google, glove models for different tasks including machine learning clustering: GloVe – How to Convert Word to Vector with GloVe and Python word2vec – Vector Representation … Read more

How to Convert Word to Vector with GloVe and Python

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In the previous post we looked at Vector Representation of Text with word embeddings using word2vec. Another approach that can be used to convert word to vector is to use GloVe – Global Vectors for Word Representation. Per documentation from home page of GloVe [1] “GloVe is an unsupervised learning algorithm for obtaining vector representations … Read more