Certificate in Natural Language Processing with 967
-- ViewingNowThe Certificate in Natural Language Processing (NLP) with 967 course is a comprehensive program that emphasizes the significance and industry demand for NLP. With the rapid growth of data, NLP has become increasingly essential for businesses to effectively analyze and utilize text data for decision-making.
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- Introduction to Natural Language Processing (NLP) · Definition, Importance, and Applications
- Text Preprocessing · Tokenization, Stop Words Removal, Stemming, Lemmatization
- Part-of-Speech (POS) Tagging · Rules, Algorithms, and Tools
- Named Entity Recognition (NER) · Techniques, Challenges, and Practical Applications
- Sentiment Analysis · Methods, Metrics, and Real-Life Examples
- Dependency Parsing · Graph Theory, Algorithms, and Implementation
- Topic Modeling · Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), and Case Studies
- Machine Translation · Statistical Machine Translation (SMT), Neural Machine Translation (NMT), and Evaluation
- Chatbots and Virtual Assistants · Design, Development, and Optimization
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