
Natural Language Processing (NLP)
Natural Language Processing (NLP) is a vital skill in the intersection of artificial intelligence and linguistics, enabling machines to understand, interpret, and generate human language. In today's information-driven world, this skill is increasingly important as organizations strive to extract insights from vast amounts of unstructured text data. Organizations hire candidates who excel in NLP to develop intelligent systems that can analyze customer feedback, automate customer service, personalize content, and much more. With applications ranging from sentiment analysis to chatbot development, NLP is a key driver of innovation and efficiency in various industries, making it a highly sought-after skill in the modern job market.
Assessment Details
US $15
Performance Analysis report
40 minutes
40 MCQ
Certificate of Specialization
Credential of Readiness
Test Syllabus
The Natural Language Processing (NLP) Skill Test ensures that candidates are equipped to contribute effectively to the development of intelligent systems capable of understanding, interpreting, and generating human language, making them valuable assets in organizations seeking to harness the power of artificial intelligence.
Topics covered in the test:
Introduction to NLP and Linguistic Resources
Regular Expressions, Text Normalization, Edit Distance
Syntactic and Semantic Analysis
Word Sense Disambiguation and Discourse Processing
Applications of Word Sense Disambiguation
Parts of Speech Tagging and Information Extraction
Natural Language Processing Inception
NLP Information Retrieval
Natural Language Processing and Python
Related Roles
Natural Language Processing (NLP) is a critical skill in the field of artificial intelligence, enabling machines to understand, interpret, and generate human language. Professionals in these roles use NLP to create intelligent systems that can analyze text data, automate customer service, personalize content, and much more.
Internship Roles:
NLP Intern
AI Research Intern
Machine Learning Intern
Data Science Intern
AI Software Engineering Intern
Full-time Roles:
NLP Engineer
AI Research Scientist
Machine Learning Engineer
Data Scientist
AI Software Engineer
AI Consultant
AI Product Manager
AI Architect
AI Analyst
AI Solutions Developer
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