Natural Language Processing (NLP) Online Assessment
This intermediate-level assessment helps hiring managers and organizations evaluate a candidate’s understanding of Natural Language Processing (NLP) techniques and their ability to apply them in real-world applications. It focuses on topics such as tokenization, word embeddings, transformers, and sequence modeling. The assessment also measures familiarity with key NLP tasks, including sentiment analysis, named entity recognition, and text classification. Ideal for roles like NLP engineer, machine learning specialist, or AI researcher, this assessment identifies candidates who can preprocess, analyze, and model language data effectively. It provides instant, automated scoring and detailed reports to support efficient, data-driven hiring decisions.
