Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This course provides an introduction to the fundamental concepts and techniques used in NLP.
Course Outline
- Introduction to NLP 📚
- What is NLP?
- History and evolution
- Text Preprocessing 🛠️
- Tokenization
- Stop word removal
- Stemming and lemmatization
- Language Models 🤖
- Word embeddings
- Contextual embeddings
- Parsing and Syntax Analysis 🧑💻
- Syntactic parsing
- Dependency parsing
- Sentiment Analysis 🤔
- Sentiment classification
- Aspect-based sentiment analysis
- Information Extraction 🖥️
- Named entity recognition
- Relation extraction
Learning Outcomes
Upon completing this course, you will be able to:
- Understand the basic concepts and applications of NLP.
- Preprocess and analyze text data using various techniques.
- Implement and evaluate NLP models for different tasks.
- Apply NLP techniques to real-world problems.
Additional Resources
For further reading, we recommend visiting our Machine Learning section.