NLP Libraries focuses on the essential tools and frameworks used to build natural language processing applications in programming environments. It enables developers and data scientists to efficiently process, analyze, and model text data. This training explains popular NLP libraries such as NLTK, spaCy, TextBlob, and scikit-learn, along with their core functionalities. It also covers text preprocessing, tokenization, lemmatization, part-of-speech tagging, and named entity recognition using these libraries. You will learn how organizations use NLP libraries to build chatbots, sentiment analysis systems, and text classification models. The course also highlights best practices for selecting and using NLP tools for scalable applications.
Showing the single result
