Features
- Gain knowledge of Natural Language Processing (NLP) to extract essential information.
- Gain in depth understanding of Chatbots text processing
Course Description
Understand how computers interact with human language using Natural Language Processing (NLP).
Natural Language Processing (NLP) is the core component for AI Chatbots, image generation, audio generation, text analysis, sentiment analysis and translation and NLP must for Data Scientists, AI Engineers, Chatbot Developers, and Linguists.
This intensive 2-day hands-on and expert-led Natural Language Processing (NLP) training will allow delegates to comprehensively understand text preprocessing, tokenization and sentiment analysis.
What You’ll Learn From This Course
- Foundational principles of natural language processing
- Explore NLP techniques, including text preprocessing, tokenization and NLP pipeline
- Apply NLP algorithms in sentiment analysis and language translation tasks
Who should join?
- Data Scientists
- Data Analysts
- AI Engineers
- Machine Learning Engineers
- Research Scientists
- Artificial Intelligence (AI) Product Managers
- Business Analysts
- Project Managers
Curriculum
- 5 Sections
- 23 Lessons
- 1 Day
Expand all sectionsCollapse all sections
- Module 1: Introduction to Natural Language Processing4
- Module 2: Text Preprocessing6
- Module 3: Text Representation4
- Module 4: Text Classification5
- Module 5: Advanced NLP Techniques4
Natural Language Processing (NLP) focuses on interaction between computers and humans through natural language. It involves the use of algorithms to analyze, understand, and generate human language.
Python is most commonly used programming languages for NLP due to its extensive libraries, such as NLTK and TensorFlow for text processing and natural language understanding.
NLP include text preprocessing (tokenization, stemming, lemmatization), text analysis (part-of-speech tagging, parsing) and semantic analysis (sentiment analysis, named entity recognition).
This NLP training provides hands-on experience to apply Python tools to analyze, preprocess, and manipulate language data for tasks like text classification, sentiment analysis, and machine translation. Improves your ability to work with large language datasets.
Delegates should have basic programming skills in Python and a general understanding of machine learning concepts.
This Course includes hands-on coding sessions, case studies, text preprocessing techniques and machine learning models for advanced language analysis.
The Artificial Intelligence Institute is the Leading global training provider for Natural Language Processing (NLP).
Lessons: