Unit 6: Natural Language Processing (NLP)Text Normalisation, Stemming, Bag of Words & TF-IDF
The complete, high-scoring study guide for CBSE Class 10 AI Unit 6. Master human language ambiguities, the 5 stages of NLP, Script-bots vs Smart-bots, Text Normalisation pipelines, Stemming vs Lemmatization, Bag of Words vectorization, step-by-step TF-IDF math on the official handbook corpus, and official MCQs with verified answer keys.
Official Handbook MCQs & Answer Key
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What does NLP stand for in Artificial Intelligence?
Which of the following describes 'Lexical Ambiguity'?
Which stage of NLP involves analyzing the grammatical arrangement of words to check if a sentence follows valid structural rules?
What is the core distinction between a 'Script-bot' and a 'Smart-bot'?
What is 'Tokenisation' in the Text Normalisation pipeline?
Which of the following is a classic example of a 'Stop Word' in English NLP pipelines?
What is the key difference between Stemming and Lemmatization?
In the Bag of Words (BoW) algorithm, what primary information is completely discarded?
In the TF-IDF algorithm, what does 'IDF' measure?
If a word appears in EVERY single document in a corpus of 100 documents, what will its standard Inverse Document Frequency (IDF) be equal to?
Which stage of NLP requires real-world knowledge, social context, and speaker intent to decipher non-literal meanings like irony or sarcasm?
What metric is extracted during Sentiment Analysis to determine whether a product review is positive, negative, or neutral?
Unit 6 Quick Recall Cheat Sheet
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