The previous article (PART -1) covers the LASER concepts and it’s architecture. There are 5 sections in this tutorial: Here’s a step-by-step tutorial on using LASER for the multi-classification task (sentiment analysis). LASER provides multilingual embeddings, which can be used to train the model to carry out the sentiment analysis task. There are 5 sections […]

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LASER (Language-Agnostic SEntence Representations), is a method to generate pre-trained language representation in multiple languages. It was released by Facebook. In Part 1 of this post, I will give an overview of LASER (Language-Agnostic SEntence Representations) and in Part 2, I will discuss an implementation of it. A Language Model is a probability distribution over […]

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