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.

The specific attributes measured include:

Following completion, the test produces a Candidate Selection Report that includes an overall score and detailed scores for each attribute.

The Candidate Selection Report also provides expert interview questions that help you probe critical or low-scoring areas, along with a guide for noting your evaluation of the candidate's responses. Consistent use of an interview guide is an important part of gaining better candidate insights and making better hiring decisions.

Note that while the Natural Language Processing (NLP) Concepts assessment is a useful and efficient instrument for confirming a base level of skill or knowledge about this important topic, it is not intended to pinpoint the exact level of candidate or skill. We recommend that skills tests, like this one, be used in parallel with other measurements, such as cognitive ability, job fit, and behavioral history. Each different type of test provides a valuable piece of information you can use when evaluating potential job performance.