Question 1

What does NLP stand for?

Accepted Answer

Natural Language Processing

Answer

Natural Language Programming

Answer

National Language Processing

Answer

Neural Language Programming

Question 2

Which of the following is a popular application of NLP?

Accepted Answer

Sentiment Analysis

Answer

Data Visualization

Answer

Image Recognition

Answer

Data Mining

Question 3

What is the main goal of text classification in NLP?

Accepted Answer

To assign predefined categories to documents

Answer

To create new languages

Answer

To enhance audio data

Answer

To improve computer vision

Question 4

Which of the following is an example of a Smart Bot?

Accepted Answer

Google Assistant

Answer

Static Response Bot

Answer

ChatGPT

Answer

Simple FAQ Bot

Question 5

What does 'Tokenization' refer to in NLP?

Accepted Answer

Dividing text into individual words or tokens

Answer

Translating from one language to another

Answer

Removing irrelevant characters

Answer

Combining phrases into sentences

Question 6

What is 'Stemming' in the context of NLP?

Accepted Answer

Extracting the base form of a word

Answer

Generating synonyms

Answer

Correcting grammatical errors

Answer

Analyzing syntax

Question 7

What is the role of 'Text Normalization' in NLP?

Accepted Answer

Cleaning and simplifying text data

Answer

Creating visual data

Answer

Enhancing audio quality

Answer

Translating languages

Question 8

Which of the following is NOT a characteristic of Smart Bots?

Accepted Answer

Limited functionality

Answer

Learning from data

Answer

Utilizing large databases

Answer

Flexibility

Question 9

In NLP, what does 'Semantics' refer to?

Accepted Answer

The meaning of a sentence

Answer

The sound of a language

Answer

The punctuation used

Answer

The structure of a sentence

Question 10

Which step involves removing unimportant words like 'the' and 'is' in NLP?

Accepted Answer

Removal of Stopwords

Answer

Lemmatization

Answer

Tokenization

Answer

Stemming

Question 11

Which of the following is NOT an application of NLP?

Accepted Answer

Image recognition

Answer

Sentiment Analysis

Answer

Text Classification

Answer

Chatbots

Question 12

What is sentiment analysis used for?

Accepted Answer

Identifying opinions and sentiments in text

Answer

Translating languages

Answer

Filtering spam emails

Answer

Summarizing documents

Question 13

Which of the following best describes a script bot?

Accepted Answer

Works around a programmed script with limited functionality

Answer

Is complex and requires coding

Answer

Learns from data and adapts

Answer

Is free and offers unlimited features

Question 14

What is the purpose of text normalization in NLP?

Accepted Answer

To clean and prepare textual data for processing

Answer

To organize data in a database

Answer

To convert numbers into words

Answer

To translate text into different languages

Question 15

What is tokenization in NLP?

Accepted Answer

Dividing text into individual words or tokens

Answer

Identifying the overall sentiment

Answer

Summarizing large texts

Answer

Assigning categories to documents

Question 16

What is lemmatization?

Accepted Answer

Extracting the meaningful base form of a word

Answer

Converting text to lowercase

Answer

Counting the frequency of words

Answer

Removing all suffixes from words

Question 17

Which of the following is a challenge for NLP?

Accepted Answer

Ambiguity in language

Answer

Computers processing numerical data

Answer

Storage capacity of computers

Answer

Speed of data processing

Question 18

What is a common use of chatbots in NLP?

Accepted Answer

Providing instant customer assistance

Answer

Designing visual content

Answer

Creating new languages

Answer

Generating complex mathematical models

Question 19

What does 'removal of stopwords' refer to in NLP?

Accepted Answer

Eliminating common words that do not add significant meaning

Answer

Breaking text into smaller parts

Answer

Removing punctuation from text

Answer

Translating complex sentences

Question 20

Which of the following is an application of NLP?

Accepted Answer

Sentiment Analysis

Answer

Spam Filtering

Answer

Image Recognition

Answer

Voice Command

Question 21

What is a common feature of Smart Bots in NLP?

Accepted Answer

They learn with more data

Answer

They are free to use

Answer

They have no learning capabilities

Answer

They are always scripted

Question 22

What is Text Normalization in NLP?

Accepted Answer

Cleaning up textual data

Answer

Converting text to speech

Answer

Generating random text

Answer

Translating text to different languages

Question 23

What is the purpose of Sentence Segmentation in NLP?

Accepted Answer

To divide text into sentences

Answer

To analyze the sentiment

Answer

To summarize text

Answer

To categorize words

Question 24

In NLP, what are Stopwords?

Accepted Answer

Words that are frequently used but add no value

Answer

Words that are difficult to pronounce

Answer

Words that are used for punctuation

Answer

Words that are always capitalized

Question 25

What is Stemming in the context of NLP?

Accepted Answer

Extracting the base form of words

Answer

Analyzing grammatical structure

Answer

Dividing sentences into words

Answer

Changing text to speech

Question 26

Which of the following is an example of a Smart Bot?

Accepted Answer

Google Assistant

Answer

An automated email responder

Answer

A scripted customer service bot

Answer

A simple FAQ bot

Question 27

What does Tokenization do in NLP?

Accepted Answer

Divides text into individual words or tokens

Answer

Translates text into other languages

Answer

Assigns categories to documents

Answer

Removes punctuation from text

Question 28

What is the difference between Stemming and Lemmatization?

Accepted Answer

Stemming may produce non-meaningful words; Lemmatization produces meaningful words

Answer

Stemming is faster than Lemmatization

Answer

Lemmatization does not reduce words

Answer

Both produce the same results

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