Description
This course introduces the fundamentals of Natural Language Processing (NLP), the field that enables computers to understand and interact with human language. Learners explore key techniques such as tokenization, stemming, lemmatization, and part-of-speech tagging. The course explains how to build text classifiers, sentiment analysis engines, and chatbot components using Python libraries like NLTK and spaCy. Real-world applications such as analyzing customer reviews, extracting information from documents, and language translation are covered. Students gain insight into how models process and interpret language, as well as ethical considerations like bias in NLP systems. Ideal for data enthusiasts and developers interested in linguistics and text data.
小林 真理子
This course was perfect for a beginner like me. Clear and engaging!
Matthew Wilson
I finally understand this topic thanks to the way it was taught.
渡辺 大輔
A well-structured course that covers all the important topics.
Olivia Young
とても分かりやすくて勉強になりました!