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3. Text Prediction refers to estimating the next word in a sentence or phrase.

4. Sentiment Analysis helps identify the weather forecast in textual data.
5. Text Classification is not used in Gmail to categorize emails.

6. OCR stands for Optimal Character Recognition.
7. Problem Scoping is the process of collecting data in the development of an NLP project.
8. ChatBots in the banking industry are mainly used for cooking recipes.
Answers

1. T 2. T 3. T 4. F 5. F 6. F 7. F 8. F
D. Very short answer type questions.

1. What does NLP stand for?
Ans: Natural Language Processing.
2. Give an example of a word processor that uses NLP.
Ans: Microsoft Word.
3. What is the purpose of Text Prediction in NLP?
Ans: Estimating the next word in a sentence.
4. Which technology allows machines to understand and respond to spoken words?

Ans: Speech Recognition.
5. What is the primary application of Text Classification in NLP?
Ans: Categorising content into different classes.
6. Name a popular application of Spell Check.
Ans: Grammarly.
7. What are the stages in the development of an NLP project.

Ans: Lexical Analysis, Syntactical Analysis, Semantic Analysis, Discourse Integration, and Pragmatic Analysis.
8. Which industry widely uses chatBots for customer queries about online services?
Ans: Banking.

E. Short answer type questions.
1. Explain the concept of conversational user interface.
Ans: It’s a computer interface emulating human conversation, such as a chatbot, allowing users to interact
through text.
2. How does Spell Check, as exemplified by Grammarly, enhance text documents?
Ans: It identifies and corrects spelling mistakes, ensuring grammatical accuracy in written content.
3. What is the role of Optical Character Recognition (OCR) in document-related tasks?
Ans: OCR digitizes printed texts, aiding tasks such as reading IDs, entering data, and verifying customer
information.
4. How does TFIDF contribute to understanding the importance of words in a document?
Ans: It assigns numerical weight to words, indicating their relevance and importance in a corpus or
document.
5. Explain the difference between traditional and AI-enabled chatbots.
Ans: AI-enabled chatbots learn from interactions, understand various queries, and exhibit unlimited
scalability compared to scripted traditional chatbots.

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