Aug 11, 2025 · 1 min read · Here is the third installment of the AI Sketchbook Series, where we demystify fundamental AI concepts with a semi-visual approach. In our previous posts, we explored how to represent text using One-Hot Encoding and the Bag-of-Words TF-IDF method. Whi...
Join discussionApr 28, 2023 · 6 min read · What is Word Embedding? Word embedding - Wiki In NLP, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way t...
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Jan 1, 2023 · 3 min read · The last blog article, which is available here, explained how Word2Vec's CBOW architecture works for creating embeddings for textual data. In this piece, we'll explain how the skip-gram architecture works for building embeddings for words, how it dif...
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