Candidates Assessed
Organizations Served
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%.
The Natural Language Processing (NLP) assessment test has been designed and developed by Subject Matter Experts (SME) 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 NLP analysis skills of an applicant before an interview. Weed out irrelevant candidates using Natural Language Processing (NLP) pre-employment test and spend time interviewing only the relevant candidates. Get the detailed reports of test results instantly.
This Natural Language Processing (NLP) skill test may contain MCQ's (Multiple Choice Questions), MAQ's (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 & hire diverse talent without any bias.
Test Duration: 20 minutes
No. of Questions: 10
Level of Expertise: Entry/Mid/Expert
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
Our assessment evaluates candidate’s knowledge about dimensionality reduction self-learning technique by using machine learning by reducing input variables in dataset
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
Our test assesses applicant’s knowledge about singular value decomposition which helps in text mining
Our Natural Language Processing (NLP) skill test evaluates applicant’s understanding about information retrieval technique that is used to get some appropriate information from text data
This assessment evaluates validates applicant’s knowledge about activation functions in NLP which defines the output of node from a set of input
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
Choose from our 100,000+ question library or add your own questions to make powerful custom tests
Question types:
Multiple Option
Topic:
Word2Vec
Difficulty:
Easy
Question types:
Multiple Option
Topic:
LSTM
Difficulty:
Hard
Question types:
Multiple Answer
Topic:
Linguistic
Difficulty:
Hard
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“The best part of iMocha is they have topic wise questions available. So if there is a need to evaluate Java or .Net skills of the employees, you can create specific assessments which will accurately measure their knowledge in that skill.”