Natural Language Processing Fundamentals Practice Exam

Natural Language Processing Fundamentals

The five phases of NLP include lexical (structure) analysis, parsing, semantic analysis, discourse coordination, and logical analysis. Some notable application areas of NLP are Optical Character Recognition (OCR), Speech Recognition, Machine Translation, and Chatbots.

Skills Required

• Understanding of message representation techniques, algorithms, statistics.

• Machine Translation and Compilers experience.

• Information on AI frameworks and libraries.

• Acquainted with Big Data frameworks – Spark, Hadoop.

• Text classification and clustering skills.

Career Opportunity

• Learning engineer

• AI Engineer

• Research Engineers

• Information Scientist

• Software Engineer

Table of Content

• Introduction to NLP
• Basic Feature Extraction Methods
• Developing a Text Classifier
• Collecting Text Data from the Web
• Topic Modeling
• Text Summarization and Text Generation
• Vector Representation
• Sentiment Analysis

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