Singapore University of Social Sciences

This course AIB551 Natural Language Processing provides an introduction to novel and effective machine learning techniques to understand and analyse human language for business applications. The module will explain the key approaches of acquiring and handling natural textual information using Python. Students will learn to pre-process and transform unstructured/semi-structured textual data into analysable format. Next, students will learn advanced data science solutions created for Natural Language Processing (NLP) including word, sentence and document embeddings, word clouds, Named Entity Recognition (NER), sentiment analysis, topic modelling, and influencer/topic network analysis enabled by supervised, unsupervised and deep machine learning techniques. Real-world examples, hands-on class exercises and assignments will be designed to help students to prepare and analyse data by harnessing Python’s libraries and using NLP techniques to extract new knowledge being integrated into data analysis workflows and improve business performance.