TEXT ANALYSIS AND NATURAL LANGUAGE PROCESSING

Catalog description

(Slashed with BA 54052 ) Course is designed to provide students with a comprehensive understanding of how to analyze unstructured text data for actionable business insights. The course explores essential techniques in text analytics, ranging from basic Natural Language Processing (NLP) to advanced machine learning and deep learning models. The curriculum covers a variety of topics such as sentiment analysis, text classification and feature engineering, along with cutting-edge methodologies like topic modeling and transformer models. Furthermore, the course delves into real-world applications of text analytics in various industries, including healthcare, finance and retail. Students examine the ethical considerations related to data privacy and bias in text analytics.