Well, the answer has to do with the volume, the sheer number of words, pings and notifications that screens bombard us with every day. Instead of deep reading, this encourages skimming - reading ...

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Meanwhile, the results on word analogy, word similarity, and text classification tasks demonstrate that our approach obtains better results than state-of-the-art approaches.

Notebook: word_embeddings_episode_1.ipynb What you'll learn: What are word embeddings? Why AI models don't work with plain text Word2Vec: CBOW vs. Skip-Gram architectures Cosine similarity (explained ...