Natural Language Processing Specialization

Natural Language Processing Specialization

Course 1: Introduction to Natural Language Processing

 

Week 1: Basics of NLP

Video Lectures: Introduction to NLP, text processing, and basic concepts.

Readings: Overview of NLP tasks and techniques.

Quiz: NLP fundamentals and terminology.

 

Week 2: Text Processing and Feature Extraction

Video Lectures: Techniques for text preprocessing, tokenization, and feature extraction.

Assignment: Implement text preprocessing steps and extract features from a dataset.

Discussion Forum: Share experiences and challenges in text processing.

 

Week 3: Language Models and Classification

Video Lectures: Building and evaluating language models, text classification techniques.

Assignment: Develop and evaluate a text classification model using various algorithms.

Quiz: Language models and classification techniques.

 

Course 2: Advanced NLP Techniques

 

Week 4: Sequence Models and Embeddings

Video Lectures: Introduction to sequence models (RNNs, LSTMs) and embeddings (Word2Vec, GloVe).

Project: Implement and evaluate a sequence model for tasks such as sentiment analysis or named entity recognition.

Peer Review: Provide feedback on peers’ sequence models.

 

Week 5: Transformer Models and Attention Mechanisms

Video Lectures: Understanding transformers, attention mechanisms, and their applications in NLP.

Assignment: Develop a model using transformer architecture for tasks like translation or text generation.

 Discussion Forum: Discuss the impact and applications of transformer models.

 

Week 6: Natural Language Generation and Understanding

Video Lectures: Techniques for generating and understanding natural language, including text generation and summarization.

Project: Create an NLP application for text generation or summarization using advanced models.

 Quiz: NLP generation techniques and models.

 

Course 3: Applying NLP in Real-World Scenarios

 

Week 7: NLP for Specific Domains

Video Lectures: Applying NLP techniques to specific domains such as healthcare, finance, or social media.

 Assignment: Develop a domain-specific NLP application or solution.

 Peer Review: Evaluate and provide feedback on domain-specific NLP projects.

 

Week 8: Trends and Future Directions in NLP

Video Lectures: Exploring emerging trends and future directions in NLP research and applications.

Discussion Forum: Discuss and debate future advancements and challenges in NLP.