Chatbots - computer programs that converse by text or voice – are just one example of natural language processing (NLP) helping organisations save costs and increase customer satisfaction. Gain an understanding of NLP and how to utilise it in your business in this half-day course.
Natural language processing is a fundamental component of AI, allowing computers to understand language and generate human-like responses. This capability is at the core of transformational apps for automated document classification, social media analysis, topic modelling, news briefings, automated summarisation, machine translation, and more.
You’ll start with an introduction to NLP and its main applications. Then, we'll review what you need to know of classifiers and machine learning, including popular approaches such as deep learning and reinforcement learning. Next, you'll see a real NLP application (topic modelling) at work. After the break, we'll continue with an overview of conversational AI and virtual assistants. Since privacy and ethical considerations are of fundamental importance for NLP and all of AI, we'll finish with a review of legal, ethical and technical issues in NLP. Drawing conclusions from the day and further steps for learning will finish the day!
Course participants may include executives and managers in agencies and corporations that are using—or considering using—NLP in their activities.
By the end of this course you should be able to:
- Understand how NLP operates and its potential for performance
- Familiarise yourself with the main NLP tasks: entity recognition, machine translation, question answering, automated summarisation, chatbots and more
- Learn the main components of the development cycle of an NLP application
- Understand the skills required of a proficient NLP developer for informed recruitment
- Introduction to the Masterclass. Aims and objectives
- An introduction to NLP and a bird’s eye view of its main tasks
- What you need to know of classifiers and deep learning
- Activity: questions & answers on the sessions
- A more in-depth view of an NLP task: topic modelling
- Conversational AI
- Privacy and ethics in NLP
About the presenter
Professor Massimo Piccardi is head of discipline and professor of machine learning, computer vision and natural language processing (NLP) at UTS. In addition to authoring numerous scientific papers, Massimo is an associate editor for journal Computer Vision and Image Understanding, a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the International Association for Pattern Recognition.