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TE Elective II NLP

Total questions: 21

Worksheet time: 7mins

Name
Class
Date
1.

Which of the following tasks is associated with Natural Language Processing (NLP)? Select all that apply.

a)

Sentiment Analysis

b)

Text Moderation

c)
  1. Semantic language modeling

d)
  1. Speech recognition and synthesis

2.

A company wants to understand how its brand is perceived on social media platforms. Which feature of the Language API would you use to quantitively measure how positive or negative user-generated content is?

Select the correct option.

a)
  1. Key phrase extraction

b)
  1. Language detection

c)

Sentiment Analysis

d)

Named entity recognition

3.

Which of the following tasks is associated with Natural Language Processing (NLP)? Select all that apply.

a)

Sentiment Analysis

b)

Text Moderation

c)
  1. Semantic language modeling

d)
  1. Speech recognition and synthesis

4.

A company wants to understand how its brand is perceived on social media platforms. Which feature of the Language API would you use to quantitively measure how positive or negative user-generated content is?

Select the correct option.

a)
  1. Key phrase extraction

b)
  1. Language detection

c)

Sentiment Analysis

d)

Named entity recognition

5.

A company wants to use a Speech service to capture real-time audio from interview discussions and convert to text. Which API should they use?

a)

Text-to-Speech

b)

Speech-to-Text

c)

Translator

d)

Batch transcription

6.

Which of the following two services can be used to create a chat bot for a knowledge base?

Select all that apply.

a)

Optical Character Recognition

b)

Azure Bot Service

c)

Language

d)

Speech

7.

Which of the following statements best describes conversational AI?

Select all that apply.

a)

A solution that enables text translation

b)

A solution that enables text-to-speech

c)

A solution that enables a dialog between AI agents

d)

A solution that enables a dialog between an AI agent and a human

8.

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

9.

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

10.

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

a)

Language Translation

b)

Sentiment Analysis

c)

Image Classification

d)

Keyword Extraction

11.

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

12.

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

13.

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

14.

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

15.
Natural Language Processing (NLP) is the field of
a)
Computer Science
b)
Artificial Intelligence
c)
Linguistics
d)
All of the above
16.
One of the main challenge/s of NLP Is _____________
a)
Handling Ambiguity of Sentences
b)
Handling Tokenization
c)
Handling POS-Tagging
d)
All of the above
17.
Modern NLP algorithms are based on machine learning, especially statistical machine learning.
a)
True
b)
False
18.
Choose form the following areas where NLP can be useful.
a)
Automatic Text Summarization
b)
Automatic Question-Answering Systems
c)
Information Retrieval
d)
All of the above
19.
Machine Translation
a)
Converts one human language to another
b)
Converts human language to machine language
c)
Converts any human language to English
d)
Converts Machine language to human language
20.
Google Translate is one of the ________________ application.
a)
Machine translation
b)
Information Retrieval
c)
Information Extraction
d)
Summarisation
21.
Morphological Segmentation
a)
Does Discourse Analysis
b)
Separate words into individual morphemes and identify the class of the morphemes
c)
Is an extension of propositional logic
d)
None of the above