Natural Language Processing(ML) QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Natural Language processing is used in-

Text classification

Topic modeling

Chatbots

All of the above

Question: 2

Which of the follwing is an appication of NLP?

Summarizing a text or article

Predicting the genre of books

Speech recognition

All of the above

Question: 3

Which of the following library is used in NLP?

NLTK

sklearn

pandas

All of the above

Question: 4

What is tokenization?

Breaking sentences into words

Creating a set of vocabularies

Removing stopwords

All of the above

Question: 5

Why we use named entity recognition in NLP?

Classify entities into predefined labels

Creating a set of vocabularies

Breaking sentences into words

None

Question: 6

What is machine translation?

Converting a human language to another

Converting a human language to machine language

Converting any human language to English

None

Question: 7

Google translator is an application of-

Sentiment analysis

Information extraction

Information retrieval

Machine translation

Question: 8

Which of the following is the main challenge of NLP?

Handling ambiguity of documents

Handling POS tagging

Handling tokenization

All of the above

Question: 9

A bag of words model uses-

A vocabulary of known words

A measure of the presence of known words

Both A and B

None

Question: 10

Which of these techniques is used for normalization in text mining?

Stemming

Stop words removal

Lemmatization

All of the above

Question: 11

What stemming refers to in text mining?

Reducing a word to its root

Defining the parts of speech of a word

Converting sentences to words

None

Question: 12

Which is the correct order for preprocessing in Natural Language Processing?

tokenization->stemming->lemmatization

lemmatization->tokenization->stemming

stemming->tokenization->lemmatization

None

Question: 13

Bag of Words in text preprocessing is a-

Feature scaling technique

Feature extraction technique

Feature selection technique

None

Question: 14

In text mining, how the words ‘lovely’ is converted to ‘love’-

By stemming

By tokenization

By lemmatization

None

Question: 15

Stop words are-

words that frequently found in a document

words that have no use in prediction

words that are not important for text mining

All of the above

Question: 16

Which of the following algorithms is widely used for text classification?

Decision tree

Support vector machine

Naive Bayes

All of the above

Question: 17

From the sentence “Ai Online Course”, how many bigrams can be created?

Question: 18

Sentiment analysis is an area of:

Computer vision

Natural language processing

Data analysis

Data mining

Question: 19

Which of the following is true about Topic Modelling?

It’s a natural language processing task

It is unsupervised learning

LDA(latent Dirichlet allocation) can be used

All of the above

Question: 20

Which of the following is used to reduce the dimensionality of text data?

Keyword Normalization

Latent Dirichlet Allocation

Latent Semantic Indexing

All of the above

Question: 21

What is the role of NLP in recommendation engines like Collaborative Filtering?

Extracting features from text

Measuring semantic similarity

Constructing feature vector

All of the above

Question: 22

Which of the following is the feature of a text corpus?

Count of the word

Part of speech tag

Both A and B

None

Question: 23

Word2vec is used to-

Generate vectors out of words

Represent a document numerically

Make a set of vocabularies

None

Question: 24

tf - idf is used in-

Sentiment analysis

Topic modeling

Text summarization

All of the above

Question: 25

Which of the following algorithm is not used in NLP?

Naive Bayes

BERT

Convolutional Neural Networks

None

Question: 26

Convolutional Neural Network is used in-

Image classification

Text classification

Computer vision

All of the above

Question: 27

tf - idf represents-

How important a word is to a document in a collection or corpus

Where to find a word in a document

The length of a document

All of the above

Question: 28

tf - idf is used in-

Page ranking by search engines

Processing texts for ML models

Both A and B

None

Question: 29

Sentiment analysis is used to-

detect polarity of a text

detect the impact of a text

Both A and B

None

Question: 30

Which of the following is a kind of text summarization?

Topic-based summarization

Extraction-based summarization

History-based summarization

All of the above

Natural Language Processing(ML) QUIZ (MCQ QUESTIONS AND ANSWERS)

TIME:20:00

Time:20:00

Natural Language processing is used in-

Which of the follwing is an appication of NLP?

Which of the following library is used in NLP?

What is tokenization?

Why we use named entity recognition in NLP?

What is machine translation?

Google translator is an application of-

Which of the following is the main challenge of NLP?

A bag of words model uses-

Which of these techniques is used for normalization in text mining?

What stemming refers to in text mining?

Which is the correct order for preprocessing in Natural Language Processing?

Bag of Words in text preprocessing is a-

In text mining, how the words ‘lovely’ is converted to ‘love’-

Stop words are-

Which of the following algorithms is widely used for text classification?

From the sentence “Ai Online Course”, how many bigrams can be created?

Sentiment analysis is an area of:

Which of the following is true about Topic Modelling?

Which of the following is used to reduce the dimensionality of text data?

What is the role of NLP in recommendation engines like Collaborative Filtering?

Which of the following is the feature of a text corpus?

Word2vec is used to-

tf - idf is used in-

Which of the following algorithm is not used in NLP?

Convolutional Neural Network is used in-

tf - idf represents-

tf - idf is used in-

Sentiment analysis is used to-

Which of the following is a kind of text summarization?