<ul><li>Natural Language Processing (NLP) focuses on teaching computers to understand and work with human language.</li><li>Word embeddings turn words into numerical vectors that capture their meanings, aiding in tasks like translation and finding related words.</li><li>Word2Vec, a neural network-based approach, is used to create word embeddings by analyzing large text collections.</li><li>Principal Component Analysis (PCA) helps visualize and simplify high-dimensional word vectors for better understanding and analysis.</li></ul>

Comprehensive Exploration of NLP, Word Embeddings, Word2Vec, and PCA in 3D

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