📌 What is Text Vectorization? In NLP, machines can’t understand text directly — they understand numbers. Text vectorization is the process of converting textual data into numerical vectors so that we can feed them into machine learning or deep learn...
Introduction Have you ever wondered how machines understand human language? How does Google suggest search queries even before you finish typing? How do chatbots comprehend user queries and generate relevant responses? The secret lies in word embeddi...
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What is Word Embedding ? In Natural Language Processing , word embedding is a term used for the representation of words for text analysis , typically in the form of real valued vectors that encodes the meaning of the word such that the words that are...
