Natural Language Toolkit (NLTK) Online Courses & Certifications
The Natural Language Toolkit, commonly referred to as NLTK, is a powerful and widely used Python library for working with human language data. It was developed by Steven Bird and Edward Loper and first released in 2001. NLTK provides a comprehensive suite of tools, resources, and algorithms for natural language processing (NLP) tasks, making it a valuable resource for researchers, educators, and developers in the field of computational linguistics and NLP.
NLTK is widely used in academic and research settings for experimenting with NLP algorithms, prototyping NLP applications, and teaching NLP concepts. It is also a valuable tool for developers who want to build applications that involve natural language processing, sentiment analysis, text classification, and other language-related tasks.
Have you ever wondered how computers break down language? This course introduces text parsing techniques using regular expressions (regex) and Part-of-Speech (POS) Tagging with NLTK.
Learn to clean text with Python 3 using regular expressions (regex) and NLTK.