Natural Language Processing Quiz

Natural Language Processing Quiz

12th Grade

17 Qs

quiz-placeholder

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Natural Language Processing Quiz

Natural Language Processing Quiz

Assessment

Quiz

Computers

12th Grade

Medium

Created by

Tej Chand

Used 1+ times

FREE Resource

17 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

This real life application of NLP is used to provide an overview of a news item or blog post, while avoiding redundancy from multiple sources and maximising the diversity of content obtained. Which is this application?

Chatbot

Virtual Assistant

Sentiment Analysis

Automatic Summarisation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following words represent an example of a lemma resulting from lemmatisation for "caring" in context to Natural Language Processing (NLP)?

Care

Cared

Cares

Car

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following applications is not associated with Natural Language Processing (NLP)?

Sentiment Analysis

Speech Recognition

Spam Filtering in emails

Stock Market Analysis

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Bag of Words is a ----------------_ model which helps in extracting features out of the text which can be helpful in machine learning algorithms.

Data Science (DS)

Virtual Reality (VR)

Natural Language Processing (NLP)

Computer Vision (CV)

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which domain of AI is used for interacting with virtual assistants such as Siri and Alexa?

Machine Learning (ML)

Computer Vision (CV)

Natural Language Processing (NLP)

Technical Vision (TV)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithms result in two things, a vocabulary of words and frequency of the words in the corpus?

Sentence segmentation

Tokenisation

Bag of words

Text normalisation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A corpus contains 4 documents in which the word 'diet' was appearing once in document1. Identify the term in which we can categorise the word 'diet'.

Stop word

Rare word

Frequent word

Removable word

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