MSAI 532 - Natural Language Processing

Credit(s): 3 hours
In this course, you will master the ability to analyze and visualize data in meaningful ways using Python to help solve complex business problems. During this course, you will have the opportunity to analyze real-world datasets to identify patterns and relationships in data. You will get hands-on experience working with and creating data science projects. No prior knowledge of programming or Python is required to take this course.

Course Learning Objectives:

1. Understand the fundamental concepts and significance of Natural Language Processing (NLP) in the context of artificial intelligence and data analysis.

2. Apply various text preprocessing techniques to clean and prepare unstructured text data for NLP tasks.

3. Utilize different types of word embeddings to represent words and documents numerically, enabling effective machine learning on text data.

4. Implement and evaluate sentiment analysis models to classify emotions and opinions present in text data.

5. Design and develop sequence-to-sequence models using encoder-decoder architectures for tasks like machine translation and text summarization.

6. Demonstrate awareness of ethical considerations in NLP, including potential algorithm biases and strategies to mitigate them, ensuring responsible NLP application development.