How to classify text using Word2Vec
Word2Vec vectors are basically a form of word representation that bridges the human understanding of language to that of a machine.
Word2Vec vectors are basically a form of word representation that bridges the human understanding of language to that of a machine.
Transfer learning is one of the most important breakthroughs in machine learning! It helps us to use the models created by others.
BERT stands for Bidirectional Encoder Representations from Transformers and it is a state-of-the-art machine learning model used for NLP tasks like text classification, sentiment analysis, text summarization, etc.
How to convert text into numeric vectors
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