Professional Certificate in Text Processing

Course Description & Learning Outcomes

Professional Certificate in Text Processing is delivered by NUS and co-marketed by SGInnovate. Text processing is essential for many applications that involve natural language data. It enables computers to understand and generate human language, extract valuable insights from text data, and automate various tasks that involve text analysis. This Professional Certificate will equip learners with the following competencies: - Provide theoretical foundations to Natural Language Processing (NLP) and build NLP applications using basic Machine Learning. - Provide you with the theoretical foundations to text mining, sentiment analysis and building sentiment classifiers using Machine Learning. - Equip you with the skills to mine data from the web and perform sentiment analysis on the data. - Acquire basic knowledge of deep neural networks and understand the applications of deep learning and its implementation. - Acquire basic skills on how to design and implement text classification, opinion mining systems and convolutional neural networks in Python using Tensorflow and Keras packages. - Articulate advanced deep learning models, their strengths and constraints, and their applications in different businesses. - Have basic skills in using deep learning algorithms to implement simple Natural Learning Processing (NLP) systems.