Q 1.

Which of the following is the type of data used by NLP applications?

Q 2.

A corpus contains 4 documents in which the word 'diet' was appearing once in document1. Identify the term in which we can categorise the word 'diet'.

Q 3.

Which domain of AI is used for interacting with virtual assistants such as Siri and Alexa?

Q 4.

Under __________, every word, number and special character is considered separately and each of them is now a separate token.

Q 5.

Select the correct features of Smart Bot :

Q 6.

Look at the two documents:
Document 1: We can use health chatbots for treating stress.
Document 2: We can use NLP to create chatbots and we will be making health chatbots now!
Identify the term in which we can categorise the word 'Chatbots'

Q 7.

Search engines not only predict what popular searches may apply to your query as you start typing, but it looks at the whole picture and recognizes what you're trying to say rather than the exact search words. This is an example of

Q 8.

For _________ the whole corpus is divided into sentences. Each sentence is taken as a different data so now the whole corpus gets reduced to sentences.

Q 9.

__________ is a term used for any word or number or special character occurring in a sentence.

Q 10.

Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it.

Q 11.

Identify the type of chatbot with the information given below: These bots work on pre-programmed instructions inside the application/machine and are generally easy to develop. They are deployed in the customer care section of various companies. Their job is to answer some basic queries that they are coded for and connect them to human executives once they are unable to handle the conversation.

Q 12.

___________ is an example of Applications of Natural Language Processing.

Q 13.

Email filters, spam filters, smart assistants are the examples of :

Q 14.

Bag of Words is a ______ model which helps in extracting features out of the text which can be helpful in machine learning algorithms.

Q 15.

____ is the process of finding instances of real-world objects in images or videos.

Q 16.

What do you mean by syntax of a language?

Q 17.

_________________is the sub-field of AI that is focused on enabling computers to understand and process human languages.

Q 18.

Which feature of NLP helps in understanding the emotions of the people mentioned with the feedback?

Q 19.

What is the analogy with the statement:
2+3 = 3+2

Q 20.

Which algorithms result in two things, a vocabulary of words and frequency of the words in the corpus?

Q 21.

Smart Assistants such as Alexa, Siri are the examples of :

Q 22.

The term Sentence Segmentation is

Q 23.

Which of the following applications is not associated with Natural Language Processing (NLP)?

Q 24.

Which feature of NLP makes it possible to assign predefined categories to a document and organize it to help you find the information you need or simplify some activities?

Q 25.

What is the role of modelling in an NLP based AI model?

Q 26.

What is the full form of TF-IDF?

Q 27.

Which of the following words represent an example of a lemma resulting from lemmatisation for "caring" in context to Natural Language Processing (NLP) ?

Q 28.

Identify the given Chat bot type:
It learns from its environment and experience. It also builds on its capabilities based on the knowledge. These can collaborate with humans, working along-side them and learning from their behavior.

Q 29.

Which of the following is a feature of document classification ?

Q 30.

This real life application of NLP is used to provide an overview of a news item or blog post, while avoiding redundancy from multiple sources and maximising the diversity of content obtained. Which is this application?

Q 31.

_______________ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want. For example spam filtering in email, auto tagging on social media, categorization of news articles etc.

Q 32.

With reference to NLP, consider the following plot of occurrence of words versus their value:
In the given graph, X represents :

Q 33.

A corpus contains 12 documents. How many document vectors will be there for that corpus?

Q 34.

Identify the given Chat bot type:
Bots which are deployed in the customer care section of various companies.

Q 35.

Aditi, a student of class XII developed a chatbot that clarifies the doubts of Economics students. She trained the software with lots of data sets catering to all difficulty levels. If any student would type or ask questions related to Economics, the software would give an instant reply. Identify the domain of AI in the given scenario.