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Word Embeddings and Semantic Similarity with Gensim

Overview

Skills Needed

Learn to generate word embeddings and measure semantic similarity with Gensim. Explore word2vec, GloVe, and other word embedding techniques with Gensim.

  • Basic understanding of NLP concepts
  • Familiarity with Python programming

Outline

  • Introduction to Word Embeddings
  • Word2Vec with Gensim
  • Continuous Bag of Words (CBOW) Model
  • Skip-gram Model in Gensim
  • Training Word Embeddings with Gensim
  • GloVe Embeddings Integration
  • Measuring Semantic Similarity
  • Embedding Visualization Techniques
  • Domain-specific Word Embeddings
  • Best Practices for Word Embeddings with Gensim

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