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How Machines Read Text: Tokenization, Stemming & Preprocessing Explained | NLP with Python

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How do machines actually understand language?
In this episode, we break down the essential text preprocessing steps in NLP, including tokenization, stemming, lemmatization, and more—using Python with NLTK and spaCy!
Whether you're building a chatbot, spam filter, or sentiment analyzer, understanding how machines read and clean text is the foundation of Natural Language Processing (NLP).
In this video, you’ll learn:
What is tokenization in NLP
The difference between stemming and lemmatization
Why preprocessing matters in machine learning
How to tokenize text using Python’s NLTK
#NLP #AI #MachineLearning #ChatGPT #BERT #GPT #NaturalLanguageProcessing #DataScience #ArtificialIntelligence
In this episode, we break down the essential text preprocessing steps in NLP, including tokenization, stemming, lemmatization, and more—using Python with NLTK and spaCy!
Whether you're building a chatbot, spam filter, or sentiment analyzer, understanding how machines read and clean text is the foundation of Natural Language Processing (NLP).
In this video, you’ll learn:
What is tokenization in NLP
The difference between stemming and lemmatization
Why preprocessing matters in machine learning
How to tokenize text using Python’s NLTK
#NLP #AI #MachineLearning #ChatGPT #BERT #GPT #NaturalLanguageProcessing #DataScience #ArtificialIntelligence