Natural Language Processing (NLP) Online Test

Topics covered

Algorithms for sentence classification, Dimensionality reduction in NLP, Word2Vec, Singular Value Decomposition, Information Retrieval, Activation Functions, Optimizers

  • MAQ (Multiple Answer Question)
  • MCQ (Multiple Choice Question)
  • Descriptive Question
  • White Board Simulator
  • Coding Simulator
  • Audio Question
  • Video Question
  • Case Study Question

The Natural Language Processing (NLP) assessment test has been designed and developed by subject matter experts (SME)s to evaluate NLP skills of Natural Language Processing Specialists- as per Industry Standards.
 
Natural language processing (NLP) is a computer science field along with artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora.
 
Natural Language Processing (NLP) Online Test helps hiring managers & employers to validate the Objective-C coding skills of an applicant before an interview. 
 
Online Natural Language Processing (NLP) Test contains questions on following Topics:
 

  • Algorithms for sentence classification

  • Dimensionality reduction in NLP

  • Word2Vec

  • Singular Value Decomposition

  • Information Retrieval

  • Activation Functions

  • Optimizers


Weed out irrelevant candidates using Natural Language Processing (NLP) pre-employment test & spend time interviewing only the relevant candidates. Get the detailed reports of test results instantly.

This pre-employment test is useful for hiring:
  • Software Engineer – NLP

  • Natural Language Processing - Technical Architect
  • Natural Language Processing Engineer

Test details:

Rather than checking the theoretical knowledge, we focus on evaluating the applied skills of the candidates through this NLP test.

This Natural Language Processing (NLP) skill Test contains MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, True or False.

Test Details: 20 minutes

20 Application Questions


The combination of Application questions helps to evaluate Technical as well as practical Skills of Candidates.

Natural Language Processing (NLP) Test

Question #1 of 3

In word vector quantization one of the problems is that relative position of words with respect to target word matters a lot. Which of the following seems good weight term to multiply with each word?

    • 1/relative_position

    • Relative_position

    • (relative_position)^2

    • None of the mentioned

Question #2 of 3

Which of the following formula is used as "forget gate" in LSTM (Long Short Term Memory Network)? Here xt denotes input in LSTM at time t and ht denotes computed hidden state in LSTM at time t.

    • ft = σ(Wf * [ht , xt] + bf)

    • ft = σ(Wf * [ht-1  , xt] + bf)

    • ft = σ(Wf * [ht , xt-1 ] + bf)

    • ft = σ(Wf * [ht-1 , xt-1 ] + bf)

Question #3 of 3

Which of the following is the ambiguous meaning of the given sentence?
"He never drinks coffee"

Note: There can be multiple correct answers to this question.

    • Someone else drinks coffee

    • He NEVER EVER drinks coffee

    • He never DRINKS coffee (he uses it in some other means)

    • He never drinks COFFEE (he drinks something else)

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24.00 Out of 40.00
Pass
60%
03
23 Minutes

Java EE

9/10

Hibernate

3/10

Oracle PL/SQL

7/10

Analytical Thinking

5/10

Note:If score<= 30% then its a Weakness. If score >=70% then its a Strength.

Strengths

Java EE, Oracle PL/SQL, Analytical Thinking

Weaknesses

Hibernate

Happy

It was a good test for me, the questions were on the latest technology of java on which I am currently working. It was a great experience. Thank you!

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