Description

This course introduces Natural Language Processing (NLP) with Machine Learning, teaching how to handle and interpret text data, construct language models, and utilize machine learning for tasks such as sentiment analysis, text classification, and named entity recognition. It covers essential NLP techniques including tokenization, morphological analysis, and parsing, alongside applications in machine learning to solve complex NLP challenges. By the end, participants will understand how to apply these methodologies to extract insights and automate language-based tasks effectively.