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2. Stemming and Lemmatisaton are both key steps in text normalisation process. But both differ in one key
aspect. What is the main difference between stemming and lemmatization?

a. Stemming removes only prefi xes, while lemmati zati on removes only suffi xes.
b. Lemmati sati on reduces words to their base form called lemma using a dicti onary, while stemming
reduces the words to their base form or stem, which may not be a meaningful word.
c. Lemmati sati on is faster than stemming.

d. Stemming preserves meaning bett er than lemmati sati on.

3. Tokenisation and removal of stopwords from text are some of the steps in the process of text normalisation
in NLP models. Given a sentence – “The computer uses machine learning algorithms to mimic human
behaviour.”, identify the word that would be considered a stopword among the given words.
a. Algorithm b. computer
c. the d. machine

Case Study Based Questions

1. Antriksh recently purchased the Amazon Alexa device for his home. He uses it to play his favourite songs,
asking for weather forecasts, and general trivia. Sometimes, though, the voice assistant is unable to
understand his requests. For example, when he asks the voice assistant, "Set an alarm for too late," the
assistant replies, "I didn't understand that."
Answer the following questions related to the above information.
a. What aspect of NLP is the assistant failing in the above request?

b. How can the voice assistant bett er understand ambiguous phrases like in the above example?
c. Which algorithm(s) is/are used most commonly by NLP models to understand and evaluate importance
of words in text?
2. Kamal is a small business owner that has an electronics store selling digital devices. He is fascinated by AI
technology and wants to use it in his store and reaching out to new potential customers as well provide
better service to his existing customers. He wants to analyse customer reviews through an AI model
but has no coding skills to develop the model. He used a No-Code AI platform to create a chatbot that
fulfilled his task.
Answer the following questions.

a. How can No-Code AI tools help people like Kamal in using AI in everyday life?
b. What are the limitati ons of No-Code AI in NLP?
c. Name some No-Code AI tools or platf orms.

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