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Document Embeddings and Text Classification with Gensim

Overview

Skills Needed

Learn to generate document embeddings and perform text classification with Gensim. Explore Doc2Vec, text categorization, and document similarity techniques with Gensim.

  • Intermediate knowledge of Gensim fundamentals
  • Understanding of text classification concepts

Outline

  • Introduction to Document Embeddings
  • Doc2Vec Model with Gensim
  • Training Document Embeddings
  • Text Categorization Techniques
  • Multi-label Classification with Gensim
  • Document Similarity with Gensim
  • Transfer Learning for Document Embeddings
  • Fine-tuning Pre-trained Embeddings
  • Scalability and Performance Optimization
  • Case Studies in Document Embeddings and Classification

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