Natural Language Processing with Classification and Vector Spaces

Natural Language Processing with Classification and Vector Spaces

Course 1 of the Natural Language Processing Specialization offers a comprehensive learning experience in various NLP techniques and applications. 

  • Perform sentiment analysis on tweets using logistic regression and naïve Bayes algorithms. 
  • Utilize vector space models to uncover word relationships, employ PCA for dimensionality reduction, and visualize these relationships. 
  • Develop an English-to-French translation algorithm employing pre-computed word embeddings and locality-sensitive hashing for approximate k-nearest neighbor search.

By completing this specialization, learners will acquire the skills to design and implement NLP applications. These applications include question-answering systems, sentiment analysis tools, language translation algorithms, text summarization tools, and chatbots.

🆓 Free to Audit
🕒 Approx. 34 Hours
📈 Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by DeepLearning.AI via Coursera

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