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C4: Natural Language Processing

Total questions: 10

Worksheet time: 20mins

Name
Class
Date
1.

What is the main purpose of Natural Language Processing?

a)

Helping the machine to understand human language

b)

Let machine understand the human mind

c)

Guide human to process the language naturally

d)

Allow human to interpret machine language easily

2.

Which of the following is NOT an application of Natural Language Processing?

a)

Language Translation Application

b)

Auto-Correction

c)

Fruit Classification System

d)

Smart Assistant

3.

Which of the following are the major NLP techniques? (Choose 3 options)

a)

Language Translation

b)

Sentiment Analysis

c)

Image Classification

d)

Keyword Extraction

4.

What is Sentimental Analysis in Natural Language Processing about?

a)

Analyse the keywords in a sentence

b)

Identify and extract the meaning behind a sentence

c)

Translate the sentence from one language to another language

d)

Understand the language used in the sentence

5.

Which of the following are the examples of the applications of Sentiment Analysis? (Choose 2 options)

a)

Translate the sentence from the Chinese language to the English language

b)

Determine whether a product review is positive or negative

c)

Determine the emotion behind a sentence

d)

Identify the phone number from a given sentence

6.

Which of the following is a part of the process of building a machine learning classifier for Sentiment Analysis?

a)

Text Processing

b)

Choose the ML algorithm

c)

Test and Evaluate the Model

d)

All of the above

7.

What is the use of labels in Sentiment Analysis?

a)

To label the type of sentiment of a sentence

b)

To analyse the sentiment of a sentence

c)

To convert the sentence to a form more understandable by the machines

d)

To train the NLP models

8.

Which of the following processes are required in Text Processing? (Choose 2 options)

a)

Text Preprocessing

b)

Data Collection

c)

Data Representation

d)

Feature Extraction

9.

Which of the following is the possible algorithm used to train NLP models?

a)

K-Nearest Neighbor

b)

Decision Tree Algorithm

c)

Naive Bayes Algorithm

d)

All of the above

10.

What is the main purpose of Model Testing in Sentiment Analysis?

a)

To test how accurate is the model in translating the sentence from a language to another language

b)

To test how good is the model in communicating with human

c)

To test how accurate is the model in predicting the sentiment of a sentence

d)

To test how accurate is the model in extracting the keywords in a sentence