I&C SCI X426.80

Text Analytics & Natural Language Processing

Gain fluency in both Text Analytics and Natural Language Processing (NLP) through practical exercises and real-life data sets. This course will cover foundational NLP techniques and applications of text classification, language modeling, speech recognition, caption generation, document summarization, and chatbots. Today a large number of organizations use Natural Language Processing to process textual data from social media to make decisions in messaging, selling, and in social entrepreneurship. Starting with an introduction to text mining using python, students will move on to learn best practices for searching, reading, scrapping, cleaning, and processing text from multiple sources. Other topics covered include how to implement Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation, respectively, for text indexing and topic modeling.
Prerequisites: I&C SCI X426.73 Introduction to Machine Learning & AI AND I&C SCI X426.74 Neural Networks & Deep Learning

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Course
Approximate Cost TBD
Format Online
Duration TBD
Total Credits 2.5