CBSE Class 10 Natural Language Processing Artificial Intelligence MCQs

Question. Automatic summarization is relevant ________________
a. for summarizing the meaning of documents and information.
b. to understand the emotional meanings within the information, such as in collecting data from social media.
c. to provide an overview of a news item or blog post.
d. All of the above

Answer : D

Question. Which of the following is a virtual assistant developed by Microsoft?
a. Siri
b. Cortana
c. Google Assistant
d. Alexa

Answer : B

Question. Now a days a lot of cases are coming where people are depressed due to reasons like _________
a. Peer Pressure
b. Studies
c. Relationship
d. All of the above

Answer : D

Question. People who are going through stress will contact _______
a. Psychiatrist
b. Physician
c. Radiologist
d. None of the above

Answer : A

Question. Type of chat bot is _______
a. Script bot
b. Smart bot
c. Both of the above
d. None of the above

Answer : C

Question. _________________ helps in cleaning up the textual data in such a way that it comes down to a level where its complexity is lower than the actual data.
a. Data Normalisation
b. Text Normalisation
c. Number Normalisation
d. Table Normalisation

Answer : B

Question. __________ are the words which occur very frequently in the corpus but do not add any value to it.
a. Special Characters
b. Stopwords
c. Roman Numbers
d. Useless Words

Answer : B

Question. After stemming, the words which we get after removing the affixes is called _________
a. Stemmed Words
b. Stemma
c. Fruit Word
d. Shoot Word

Answer : A

Question. Which of the following things we are getting after ‘Bag of Words’ algorithm?
a. A vocabulary of words for the corpus.
b. The frequency of these words.
c. Both of the above.
d. None of the above

Answer : C

Question. Which of the following type of words have more value in the document of the corpus?
a. Stop words
b. Frequent words
c. Rare words
d. All of the above

Answer : C

Question. ________ helps in removing the unnecessary words out of a text body.
a. Document Classification
b. Topic Modelling
c. Stop word filtering
d. Information Retrieval System

Answer : C

Question. Which of the following is not the domain of Artificial Intelligence?
a. Data Science
b. Computer Vision
c. NLP
d. Data Vision

Answer : D

Question. Applications of Natural Language Processing is _________
a. Automatic Summarization
b. Sentiment Summarization
c. Text Summarization
d. All of the above

Answer : A

Question. Companies use ________ application of NLP , to identify opinions and feelings/emotions online to help them understand what customers think about their products and services.
a. Sentiment Analysis
b. Automatic Summarization
c. Text classification
d. Virtual Assistants

Answer : A

Question. We can collect data by _________________________
a. Surveys
b. Databases available on the internet.
c. Interviews
d. All of the above

Answer : D

Question. Which of the following is not an example of smart bot?
a. Siri
b. Google Assistant
c. Cortana
d. Bots which are deployed in the customer care section and answer the basic queries.

Answer : D

Question. Syntax refers to the ___ of a sentence
a. Grammatical structure
b. Hindi meaning
c. Pronunciation
d. None of the above

Answer : A

Question. In __________ it is important to understand that a word can have multiple meanings and the meanings fit into the statement according to the context of it.
a. Natural Language
b. Computer language
c. Machine Language
d. None of the above

Answer : A

Question. In Tokenisation each sentence is then further divided into __________
a. Token
b. Character
c. Word
d. Numbers

Answer : A

Question. While stemming healed, healing and healer all were reduced to _______________
a. heal
b. healed
c. heale
d. hea

Answer : A

Question. Bag of words algorithm gives us the frequency of words in each document. It gives us an idea that if the word is occurring more in a document, __________
a. its value is more for that document
b. its value is less for that document
c. its value is not more not less for that document
d. its has no value for that document.

Answer : A

Question. __________ is the number of documents in which the word occurs irrespective of how many times it has occurred in those documents.
a. Term frequency
b. Inverse Document Frequency
c. Document Frequency
d. Inverse Frequency

Answer : C

Question. Which of the following domain work around numbers and tabular data?
a. Computer Vision
b. Data Science
c. NLP
d. None of the above

Answer : B

Question. The goal of _____________ is to identify sentiment among several posts.
a. Sentiment Analysis
b. Automatic Summarization
c. Text classification
d. Virtual Assistants

Answer : A

Question. Which of the following is used in spam filtering in E-mail?
a. Sentiment Analysis
b. Automatic Summarization
c. Text classification
d. Virtual Assistants

Answer : C

Question. Which out of the following is the first virtual assistant?
a. Alexa
b. Siri
c. Cortana
d. Google Assistant

Answer : B

Question. Cognitive Behavioural Therapy includes ___________
a. understanding the behaviour of a person in their normal life.
b. understanding the emotions of a person in their normal life.
c. understanding the mindset of a person in their normal life
d. All of the above

Answer : D

Question. The most common applications of Natural Language Processing is ______
a. Bat Ball
b. Chat Bot
c. Ro Bot
d. Talk Bot

Answer : B

Question. _____________ learn with more data.
a. Script bots
b. Smart bots
c. Both of the above
d. None of the above

Answer : B

Question. A ____ is a software or computer program that simulates human conversation.
a. Chat bot
b. Robot
c. Talk bot
d. Chatter

Answer : A

Question. Semantics refers to _________
a. grammar of the statement
b. meaning of the statement
c. Both of the above
d. None of the above

Answer : B

Question. In ___________ the whole corpus is divided into sentences.
a. Tokenisation
b. Sentence Segmentation
c. Removing Stopwords, Special Characters and Numbers
d. Converting text to a common case

Answer : B

Question. _____________ is the process in which the affixes of words are removed and the words are converted to their base form.
a. Lemmatization
b. Stemming
c. Both of the above
d. None of the above

Answer : C

Question. ___________ is a Natural Language Processing model. In this we get the occurrences of each word and construct the vocabulary for the corpus.
a. Bag of Words
b. Bag of Alphabets
c. Bag of Characters
d. Bag of Numbers

Answer : A

Question. Which of the following type of words have more frequency in the document of the corpus?
a. Stop words
b. Frequent words
c. Rare words
d. All of the above

Answer : A

Question. ____ is all about visual data like images and videos.
a. Computer Vision
b. Data Science
c. NLP
d. None of the above

Answer : A

Question. One of the applications of Natural Language Processing is relevant when used to provide an overview of a news item or blog post, while avoiding redundancy from multiple sources and maximizing the diversity of content obtained. Identify the application from the following
a. Sentiment Analysis
b. Virtual Assistants
c. Text classification
d. Automatic Summarization

Answer : D

Question. Which of the following is not a Virtual Assistant?
a. Alexa
b. Cortana
c. Siri
d. Silvi

Answer : D

Question. _________ is all about how machines try to understand and interpret human language and operate accordingly.
a. Natural Language Processing
b. Data Science
c. Computer Vision
d. None of the above

Answer : A

Question. Which of the following is a chat bot?
a. Mitsuku Bot
b. CleverBot
c. Jabberwacky
d. All of the above

Answer : D

Question. Our ____ keeps on processing the sounds that it hears around itself and tries to make sense out of them all the time.
a. Eyes
b. Mouth
c. Brain
d. Ear

Answer : C

Question. The following line refers to ____________5 + 6 = 6 + 5
a. Different syntax, same semantics
b. Same syntax, Different semantics
c. Different syntax, Different semantics
d. None of the above

Answer : A

Question. Which of the following is the first step for Text Normalisation?
a. Tokenisation
b. Sentence Segmentation.
c. Removing Stopwords, Special Characters and Numbers.
d. Converting text to a common case.

Answer : B

Question. While stemming studies was reduced to ___________________ after the affix removal.
a. studi
b. study
c. stud
d. studys

Answer : A

Question. _______ are the words which occur the most in almost all the documents.
a. And
b. The
c. This
d. All of the above

Answer : D

Question. Which of the following is an application of TFIDF?
a. Document Classification
b. Topic Modelling
c. Stop word filtering
d. All of the above

Answer : D

Question. Which of the following is not correct about NLP?
a. It is a sub field of AI.
b. It is focused on enabling computers to understand and process human languages.
c. It takes in the data of Natural Languages which humans use in their daily lives.
d. None of the above

Answer : D

Question. What a virtual assistants can do?
a. They can help us in keeping notes of our tasks.
b. They can make calls for us.
c. They can send messages for us.
d. All of the above.

Answer : D

Question. CBT stands for ______________
a. Cognitive Behavioural Therapy
b. Common Behavioural Therapy
c. Creative Behavioural Therapy
d. Clear Behavioural Therapy

Answer : A

Question. The possible difficulties a machine would face in processing natural language is __________
a. Arrangement of the words and meaning
b. Multiple Meanings of a word
c. Perfect Syntax, no Meaning
d. All of the above

Answer : D

Question. The term used for the whole textual data from all the documents altogether is known as _____
a. Complete Data
b. Slab
c. Corpus
d. Cropus

Answer : C

Question. During Text Normalisation, when we convert the whole text into a similar case, we prefer ____________
a. Upper Case
b. Lower Case
c. Title Case
d. Mixed Case

Answer : B

Question. Which of the following statement is not correct?
a. Lemmatization makes sure that lemma is a word with meaning.
b. Lemmatization takes a longer time to execute than stemming.
c. Stemmed word is always meaningful.
d. Both Stemming and lemmatization process remove the affixes

Answer : C

Question. Those words which are a complete waste for machine as they do not provide any information regarding the corpus are termed as __________
a. Start words
b. End words
c. Stop words
d. Close words

Answer : C

Q8. Which of the following will help to access a specific, important piece of information from a huge knowledge base.
a. Sentiment Analysis
b. Text classification
c. Virtual Assistants
d. Automatic Summarization

Answer : D

Question. Which of the following 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.
a. Sentiment Analysis
b. Automatic Summarization
c. Text classification
d. Virtual Assistants

Answer : C

Question. Which of the following is an example of a voice based virtual assistant?
a. Alexa
b. Siri
c. Cortana
d. All of the above

Answer : D

Question. _____ is a technique used by most therapists to cure patients out of stress and depression.
a. CTB
b. CBD
c. CBT
d. BCT

Answer : C

Question. Example of smart bot is _____
a. Alexa
b. Siri
c. Cortana
d. All of the above

Answer : D

Question. In Human language, a perfect balance of ______ is important for better understanding.
a. Syntax
b. Semantics
c. Both of the above
d. None of the above

Answer : C

Question. During Text Normalisation, which step will come after removing Stopwords, Special Characters and Numbers.
a. Converting text to a common case.
b. Stemming
c. Lemmatization
d. Tokenisation

Answer : A

Question. _____________ work around a script which is programmed in them.
a. Script bots
b. Smart bots
c. Both of the above
d. None of the above

Answer : A

Question. ________ is the frequency of a word in one document.
a. Term frequency
b. Inverse Document Frequency
c. Document Frequency
d. Inverse Frequency

Answer : A

Question. To understand the sentiments of people, we need to collect their conversational data so the machine can interpret the words that they use and understand their meaning. This step is coming under ______________
a. Problem Scoping
b. Data Acquisition
c. Data Exploration
d. Modelling

Answer : B

Question. There are ___________ types of chatbot.
a. 1
b. 2
c. 3
d. 4

Answer : B

Question. Under ______, every word, number and special character is considered separately and each of them is now a separate token.
a. Sentence Segmentation
b. Removing Stopwords, Special Characters and Numbers
c. Converting text to a common case
d. Tokenisation

Answer : D

Question. Which of the following is an example of stopword?
a. a
b. an
c. and
d. All of the above

Answer : D

Question. After Lemmatization, the words which we are get after removing the affixes is called _________
a. Lemmat
b. Lemma
c. Lemmatiz
d. Lemmatiza

Answer : B

Question. Expand TFIDF
a. Term Format & Inverse Document Frequency
b. Term Frequency & Inverse Document Frequency
c. Term Frequency & Inverse Data Frequency
d. Term Frequency & Inner Document Frequency

Answer : B

Question. In _________, we put the document frequency in the denominator while the total number of documents in the numerator.
a. Inverse Frequency
b. Inverse Document
c. Inverse Document Frequency
d. Term Frequency

Answer : C