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Natural Language Processing (NLP) Test
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Natural Language Processing (NLP) Test

iMocha’s Natural Language Processing (NLP) online test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for roles such as Software Engineer – NLP, Natural Language Processing - Technical Architect, and Natural Language Processing Engineer. Our test helps to reduce hiring time by 45%.

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Natural Language Processing (NLP) Online Test

The Natural Language Processing (NLP) assessment test has been designed and developed by subject matter experts (SMEs) 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 and employers to validate the NLP analysis skills of an applicant before an interview. Weed out irrelevant candidates using Natural Language Processing (NLP) online test and spend time interviewing only the relevant candidates. Get detailed reports of test results instantly.

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Test Summary

This NLP test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio/Video Questions, AI-LogicBox, Coding Simulations, True or False Questions, etc.

Online Natural Language Processing (NLP) test is designed considering EEOC guidelines, it will help you assess and hire NLP developers without any bias.

Useful for hiring
  • Software Engineer – NLP
  • Natural Language Processing - Technical Architect
  • Natural Language Processing Engineer
  • Machine Learning Engineer
  • Computational Linguist
  • Data Scientist
Test Duration
No. of Questions
Level of Expertise
Topics Covered

Algorithms for Sentence Classification

iMocha’s Natural Language Processing (NLP) online test helps recruiters and hiring managers to evaluate candidate’s understanding about sentence classification algorithms which helps to categorize data into a category


This Natural Language Processing (NLP) assessment test assesses applicant’s knowledge about word2vec technique which helps to detect and suggest synonymous words for a sentence

Singular Value Decomposition

Our NLP test assesses applicant’s knowledge about singular value decomposition which helps in text mining.


Our Natural Language Processing (NLP) pre-employment test evaluates candidate’s understanding about optimizer algorithms which are used to improve efficiency of data learning rate

Information Retrieval

Our Natural Language Processing (NLP) assessment test evaluates applicant’s understanding about information retrieval technique that is used to get some appropriate information from text data.

Dimensionality Reduction in NLP

Our assessment evaluates candidate’s knowledge about dimensionality reduction self-learning technique by using machine learning by reducing input variables in dataset
Sample Question
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Question type
Multiple Option
Topics covered


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


  • 1/relative_position<br />&nbsp;
  • Relative_position<br />&nbsp;
  • (relative_position)^2<br />&nbsp;
  • None of the mentioned<br />&nbsp;
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