In this course you’ll explore advanced natural language processing – the field of computer science and AI that concerns interactions between computer and human languages. Over the course you’ll learn four new NLP architectures and explore classic NLP problems like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. By course’s end, you’ll have a firm grasp on natural language processing and its many applications.
- Access 40 lectures & 4.5 hours of content 24/7
- Discover Word2Vec & how it maps words to a vector space
- Explore GLoVe’s use of matrix factorization & how it contributes to recommendation systems
- Learn about recursive neural networks which will help solve the problem of negation in sentiment analysis
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