# Natural Language Processing (NLP) Concepts Assessment

## Description
The Natural Language Processing (NLP) Concepts assessment is designed to evaluate the knowledge and skills of entry-level to mid-level information technology professionals in the underlying concepts and design principles of NLP, covering key areas such as Text Preprocessing, Text Representation, NLP Pipelines, Text Classification and Sentiment Analysis, Named Entity Recognition (NER), and Model Evaluation Metrics. The test measures skills through a variety of question formats, including Multiple Choice, Multiple Correct Answer, and Essay Composition questions, with questions drawn from a large pool to minimize cheating, and one or more questions featuring individual time limits to further deter dishonesty and enhance predictive performance. The assessment focuses exclusively on common NLP principles and concepts, without reference to any specific software packages, though it gauges awareness of widely used tools and libraries such as NLTK, spaCy, and transformers. One or more questions are scored using artificial intelligence, ensuring a modern and thorough evaluation of each candidate's understanding of NLP fundamentals, from text preprocessing techniques like tokenization and lemmatization to model evaluation metrics such as precision, recall, and F1 score.

## Competencies Measures
- Model Evaluation Metrics
- NLP Pipelines
- Named Entity Recognition (NER)
- Text Classification and Sentiment Analysis
- Text Preprocessing
- Text Preprocessing (Free Text Responses)
- Text Representation
- Text Representation (Free Text Responses)

## Metadata
- **Duration:** 19.0 Minutes
- **Language:** English (US)
- **Type:** Skills/Knowledge Assessment (Test)
- **Last Updated:** July 2, 2026

## Catalog Link
View additional details or to administer the assessment to a candidate here:
[View in Online Test Catalog](https://www.hravatar.com/ta/tests/9711/natural-language-processing-nlp-concepts.html)