Natural Language Processing (NLP) Fundamentals Training focuses on the core concepts and techniques used to process and analyze human language using computational methods. It enables learners to understand how machines interpret text and speech data for real-world applications. This training explains key NLP concepts such as tokenization, stemming, lemmatization, part-of-speech tagging, and named entity recognition. It also covers basic text representation techniques like bag-of-words and TF-IDF. You will learn how NLP is applied in chatbots, sentiment analysis, translation systems, and search engines. The course also highlights best practices for building a strong foundation in natural language processing.
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