Natural Language Processing Assessment Test

This test comprises of 20 Questions and you stand a chance to avail upto 20% discount on Natural Language Processing Course basis your assessment score.
GOOD LUCK!

Which of the below data types is not supported by python?

Tuple

List

Dataframe

Factor

Consider the following list:

mylist = [“This”, “is”, “my”, “list”]

What will the command “mylist[1]” return?

“my”

“list”

“is”

“this”

If an outlier (value on a different scale than other values) is added to a data, it will affect the mean. True or false?

True

False

Remove the outlier from the data set 73, 77, 81, 86, 900, 68, 28 and calculate the new Mean.

122

What is the difference between a bar graph and a histogram?

Histogram doesn’t show the entire range

Bar chart is symmetric whereas Histogram is always skewed

Histograms are for continuous variables whereas Bar graphs are for categorical variables

Histograms are for categorical variables whereas Bar graphs are for continuous variables

Which of the following is the first stage of predictive modeling?

Data Exploration

Problem Definition

Hypothesis Generation

Model Building

In a confusion matrix, the total number of actual positives are given as?

True Positive + False Negative

False Negative + True Negative

False Positive + False Negative

True Positive + False Positive

What do we mean by the process of dimensionality reduction?

Process of eliminating observations from the dataset

Process of eliminating independent variables randomly

Process of eliminating independent variables such that maximum information is retained with minimum variables

None of the above

Which of the following statements are true about the Naive Bayes algorithm?

It calculates the probability of only 1 class

It assumes that the features are completely independent of each other

None of the above

What exactly the term “Ensembling” stands for in predictive modelling?

Combining different datasets for better predictions

Combining different models for better predictions

Combining independent variables to form new ones

None of these

What are the top 3 most frequent words in the text snippet below?

“I am a huge football fan so the title of the repository instantly had my attention. Google Research and football – what in the world do these two have to do with each other? This repository contains a reinforcement learning environment based on the open-source game Gameplay Football.”

“the”, “in”, “based”

“in”, “so”, “my”

“football”, “with”, “and”

“the”, “repository”, “do”

What are the top 3 most frequent words in the text snippet below, excluding the words “the” and “a”?

“So, I was browsing YouTube a few weeks ago searching for a certain category to watch. That’s when my data scientist thought process kicked in. Could I extract data about the videos and build a model to classify them into their respective categories?”

“few”, “into”, “my”

“I”, “to”, “data”

“for”, “data”, “in”

“my”, “about”, “and”

Given below is a list of terms coming from three different themes or topics.

[“goal”, “sun”, “car”, ”space”, “football”, “midfielder”, “engine”, “galaxy”]

Split this list into groups of similar word together. Select the right option.

[“goal”, “sun”, “football”]

[“midfielder”, “engine”, “galaxy”]

[“car”, “space”]

[ “sun”, “football”]

[“midfielder”, “engine”, “galaxy”]

[“car”, “space”, “goal”]

[ “sun”, “football”, “galaxy”]

[“midfielder”, “engine”]

[“car”, “space”, “goal”]

[“sun”, “space”,”galaxy”] [“goal”, “football”, “midfielder] [“car”, “ engine”]

What is the right set of words to fill in the blanks in the text below?

“Natural language processing (NLP) is a subfield _____ computer science, information engineering, and artificial intelligence concerned _____ the interactions between computers _____ human (natural) languages, in particular how to program computers to process and analyze large _____ of natural language data.”

“is”, “with”, “not”, “size”

“can”, “about”, “for”, “number”

“of”, “with”, “and”, “amounts”

None of the above

Identify the name of the locations or places in the sentences below:

10 places you must visit in the Big Apple.
Central Park is located in Manhattan.
Rains hit flight operations in Mumbai

1- Big Apple

2- (Central Park, Manhattan)

3- Mumbai

1- places

2- Manhattan 3- Mumbai

1- (places, visit)

2- Central Park 3- Mumbai

Identify the sentiment in the statement below:

“Angry citizens sue government over growing air pollution“

Negative

Positive

Neutral

Given below are three sample SMS’s. Spot the spam SMS

Loan for $2000 is approved for you if you receive this SMS. 1 min verification & cash in 1 hr. Give a call at +1-341*******
Sending you smiles for every moment of your special day…Have a wonderful time and a very happy birthday!
Dear customer, we have refunded Rs. 500 to your Bank Account/Card for your failed payment.

1 and 2

Given below are a few questions from movies.stackexchange.com

Is this character still alive at the end of Stranger Things season 2?
What was the waiter’s dialogue in the movie?
Why do movie directors use brown tint on Mexico cities?

Assign suitable tags to each of these questions. You can use the following tags.

Tags: “plot-explanation”, “character”, “dialogue”, “production”

1- “dialogue”

2- “character”, “production” 3- “plot-explanation”

1- “plot-explanation”, “character”

2- “dialogue” 3- “production”

1- “plot-explanation”, “character”

2- “dialogue”

3- “production”

1- “production”

2- “dialogue”, “plot-explanation” 3- “character”

Consider the statement below and extract intent (action to be taken) and entities from it.

“I would like to go to Los Angeles”

Intent- see

Entities- “Los Angeles”

Intent- travel Entities- None

Intent- travel Entities- “Los Angeles”

What information can we extract from text?

Word count and character count

Dates, e-mails, and phone numbers

Sentiment of the text

All of the above

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Natural Language Processing Assessment Test

This test comprises of 20 Questions and you stand a chance to avail upto 20% discount on Natural Language Processing Course basis your assessment score.
GOOD LUCK!

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This test comprises of 20 Questions and you stand a chance to avail upto 20% discount on Natural Language Processing Course basis your assessment score. GOOD LUCK!

This test comprises of 20 Questions and you stand a chance to avail upto 20% discount on Natural Language Processing Course basis your assessment score.
GOOD LUCK!