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8. Text normalisation is the process of transforming text into a complex form.
9. TFIDF is primarily used for weather forecasting.

D. Very short answer type question.
1. What is the main difference between traditional and AI-enabled Chatbots?

2. How does the human brain process sounds when someone speaks?
3. What is syntax in the context of language processing?
4. What is the purpose of Bag of Words in NLP?

5. What is the significance of Term Frequency in TFIDF?
6. What is the primary advantage of Lemmatisation over stemming in text normalisation?

7. What does Bag of Words create a vocabulary of in NLP?
8. What is the primary benefit of speech recognition technology in NLP?
9. Name one application where chatbots are widely used.

10. What role does sentiment Analysis play in business application?
E. Short answer type question.

1. How does Bag of Words create feature vectors for machine learning algorithms?
2. What does text normalisation aim to achieve in NLP?
3. How does text classification benefit emails and social media?

4. What is the primary application of Sentiment Analysis in business?
5. How does text prediction simplify typing in applications like Gmail?

6. What is the significance of sentence segmentation in text normalisation?
7. How does Speech Recognition technology power Voice User Interfaces?
8. What is the role of a chatbot in a conversational user interface?

9. Explain the concept of TFIDF and its applications in NLP.
F. Long answer type question.

1. Explain the role of syntax in language processing, and how does it relate to the arrangement of words in
programming?

2. What are the differences between traditional (scripted) chatbots and AI-enabled chatbots, and how does
AI contribute to their capabilities?
3. Discuss the significance of Sentiment Analysis in the business domain and how it aids in understanding
customer opinions.
4. How does Speech Recognition technology power Voice User Interfaces, and what are some notable
applications of this technology?

5. Explain the concept of Bag of Words in Natural Language Processing and its application in feature
extraction.

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