Natural Language Processing(ML) QUIZ QUESTIONS

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