Text Analytics

This course aims to equip you with the knowledge and skills to effectively analyse large amounts of textual data such as customer feedback and social media conversations to discover themes, patterns and trends to aid in improving business process and decision making. In scenario-based case studies, you will be introduced to common text analytics tasks such as data pre-processing and preparation, linguistic/knowledge resources management, concept extraction, text categorisation, clustering, association and trend analysis. You will practise performing these tasks following a well-defined process in hands-on sessions. This 3-day data mining course focuses on introducing the essential analytical skills in modelling unstructured textual data such as customer feedback, reviews or comments to business and IT professionals. This course is part of the Artificial Intelligence, Graduate Certificate in Business Analytics Practice and Graduate Certificate in Practice Language Processing Series offered by NUS-ISS.