NLP- Grade 7

NLP- Grade 7

10th - 12th Grade

50 Qs

quiz-placeholder

Similar activities

Computer Quiz

Computer Quiz

12th Grade

50 Qs

Simple HTML and CSS

Simple HTML and CSS

9th - 12th Grade

55 Qs

Principles IT

Principles IT

9th - 12th Grade

45 Qs

NLP CLASS X

NLP CLASS X

10th Grade

51 Qs

emerging trends class 11

emerging trends class 11

11th - 12th Grade

48 Qs

AI Project Cycle and Ethical Frameworks

AI Project Cycle and Ethical Frameworks

10th Grade - University

47 Qs

CSS Q1 Exam

CSS Q1 Exam

11th Grade

50 Qs

ECS Semester 1 Review 24/25

ECS Semester 1 Review 24/25

9th - 12th Grade

45 Qs

NLP- Grade 7

NLP- Grade 7

Assessment

Quiz

Computers, Other, World Languages, Mathematics

10th - 12th Grade

Medium

Created by

Priyanka Anand

Used 15+ times

FREE Resource

50 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which step is the process of breaking down documents into smaller units of analysis?

Lemmatization

Tokenization

Ngrams

Stopwords

Corpus

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which are common words usually removed in an NLP analysis?

Lemmatization

Tokenization

Ngrams

Stopwords

Corpus

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is the process of turning different morphologies (i.e. versions) of a word into its base form?

Lemmatization

Tokenization

Ngrams

Stopwords

Corpus

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

2. NLP is concerned with the interactions between computers and human (natural) languages.

TRUE

FALSE

NOT SURE

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

5 Natural Language Processing (NLP) is the field of

Artificial Intelligence (AI)

AI and

Computer Science

Linguistics

All of the above

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

The picture shows ____________.

Text normalization before removing stop words

Text normalization after removing stop words

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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.

  1. Key phrase extraction

  1. Language detection

Sentiment Analysis

Named entity recognition

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?