Python Quiz for NLP – 10

Introduction

Delving into the realm of Natural Language Processing (NLP) opens up a fascinating frontier of possibilities. Our Python Quiz for NLP is designed to challenge your knowledge, provide insights, and add a fun twist to your learning journey. Through a series of curated questions, you’ll explore various NLP concepts and Python implementations, growing your comprehension and confidence in handling real-world language processing tasks. Natural Language Processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics. Its goal is to enable computers to understand, interpret, and generate human language in a valuable way.

So, are you ready to put your NLP skills to the test?

Read to prepare: Interview-questions-natural-language-processing-using-python

0%

1

Python NLP – 10

Level: Advanced

1 / 10

1. What is a Bag-of-Words model?

a) A model that treats text as an unordered set of words

b) A model for time-series data

c) A neural network architecture

d) A type of sorting algorithm

2 / 10

2. What is Word Embedding?

a) A type of data visualization

b) A machine learning algorithm

c) A type of database

d) A technique to convert words to vectors

3 / 10

3. What is Lemmatization?

a) Assigning POS tags

b) Converting text to lowercase

c) Removing stop words

d) Converting words to their base form

4 / 10

4. What is a Corpus in NLP?

a) A programming language

b) A large collection of text

c) A type of neural network

d) A machine learning model

5 / 10

5. What is Named Entity Recognition (NER)?

a) Converting text to speech

b) Identifying and categorizing entities in text

c) Translating text

d) Breaking text into sentences or words

6 / 10

6. What is a Stop Word?

a) A commonly used word that is often ignored in text processing

b) A technical term in programming

c) A word that causes errors in NLP

d) A type of keyword in Python

7 / 10

7. What is Sentiment Analysis?

a) Determining the mood or opinion expressed in text

b) Analyzing the structure of a database

c) A type of sorting algorithm

d) Analyzing network traffic

8 / 10

8. What does TF-IDF stand for?

a) Time Frame-Interchangeable Data Format

b) Tensor Factorization-Information Density Filter

c) Text Frequency-Inverse Document Frequency

d) Total Frequency-Indexed Data Format

9 / 10

9. What is POS tagging?

a) Translating text

b) Assigning Part-Of-Speech tags to words

c) Converting text to speech

d) Breaking text into sentences or words

10 / 10

10. What is Chunking in NLP?

a) Breaking text into sentences or words

b) Translating text

c) Converting text to speech

d) Grouping words into meaningful clusters

Your score is

LinkedIn Facebook Twitter

0%

Restart quiz

Send feedback