NLTK Python Tutorial |Text Mining Sentiment Analysis Python Using NLTK | NLTK Tutorial | Simplilearn
Taha GÖÇER
About this course
This course provides a deep dive into text mining techniques using the Natural Language Toolkit (NLTK) in Python. Learn to preprocess unstructured text data, including tokenization, stop word removal, stemming, lemmatization, and part of speech tagging. Explore various applications such as sentiment analysis, document clustering, and spam filtering, while mastering the methods for extracting valuable insights from text.
What you should already know
Familiarity with basic Python programming is required before taking this course.
What you will learn
By the end of this course, learners will have a hands-on understanding of text mining techniques, enabling them to analyze and interpret large sets of unstructured data effectively.