NLP Lab

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NLP Explorer – Natural Language Processing Concepts

Natural language processing is the branch of AI that enables computers to read, interpret, and generate human language at scale. This explorer walks you through the NLP pipeline: tokenization splits text into words and subwords, part-of-speech tagging labels each token, and a dependency parser reveals grammatical structure through a visual syntax tree. Sentiment analysis then classifies the emotional tone of your text, showing the probabilistic signals that drive real-world language applications.

What you can do in this simulation

Tokenize any text and see how words, punctuation, and subword units are split
Run part-of-speech tagging and inspect noun, verb, and adjective labels on each token
Visualize a dependency parse tree showing grammatical relationships between words
Perform sentiment analysis and see confidence scores for positive, negative, and neutral classes
Explore TF-IDF vectors to understand how NLP models represent documents numerically

Concepts covered

natural language processing · tokenization · part-of-speech tagging · sentiment analysis · dependency parsing · TF-IDF

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