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8. Which industry widely uses chatBots for customer queries about online services?

Ans: Banking.
E. Short answer type question.

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.
6. What are the five stages involved in developing a natural language processing project?

Ans: Problem Scoping, Data Acquisition, Data Exploration, Modelling, and Evaluation.
7. How does Lemmatisation differ from Stemming in text normalisation?
Ans: Lemmatisation transforms words to their base form, ensuring meaningful words, while Stemming
removes affixes but may not result in meaningful words.
8. What role does Speech Recognition play in applications like voice assistants?

Ans: It enables devices such as Cortana, Siri, and Google Assistant to understand and respond to spoken
commands.

9. Why is syntax crucial in language processing, and what does it refer to?
Ans: Syntax involves understanding the rules and arrangement of words, crucial for interpreting the structure
of language in programming.
F. Long answer type question.

1. Explain the concept of text normalisation in natural Language processing and its role in simplifying textual
data.
Ans: Text Normalisation is the process of transforming text into a standard form, reducing complexity for
further analysis. It involves tasks like sentence segmentation, eliminating stopwords, changing letter
case, and stemming. This normalisation ensures that the text is in a consistent format, making it easier
for machines to understand and process.

2. What are the various applications of natural language processing, and how does it contribute to
conversational user interfaces?
Ans: NLP finds applications in conversational user interfaces such as chatbots where machines emulate
human-like conversations. This technology is widely used in banks, e-commerce websites, and other
platforms to enhance user interaction through text-based conversations.

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