Embedding billions of text documents using Tensorflow Universal Sentence Encoder and Spark EMR – Vademecum of Practical Data Science
“Tensorflow HUB makes available a variety of pre-trained models ready to use for inference. A very powerful model is the (Multilingual) Universal Sentence Encoder that allows embedding bodies of text written in any language into a common numerical vector representation. Embedding text is a very powerful natural language processing (NLP) technique for extracting features from … Continue reading Embedding billions of text documents using Tensorflow Universal Sentence Encoder and Spark EMR”