Comments on the three-zone approach for social media monitoring

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Notes on contributors

Ross Sparks

Ross Sparks is a Statistician with over 39 years research and teaching experience at universities and research at CSIRO. He is currently based in Data 61, CSIRO, Sydney, Australia and been with CSIRO for over 27 years. His role is in leading strategic and tactical research projects in Data61, CSIRO in the area of multivariate spatio-temporal monitoring and spatio-temporal modeling. He has published over 100 papers in refereed journals, 11 book chapters, 20 papers in conference proceedings and 10 articles in trade magazines. While working at CSIRO, he has carried out research contract work for most Australian large companies and several international companies operating within Australia.

Cécile Paris

Cécile Paris is the Chief Scientist at Data61, CSIRO. Her expertise is in Natural Language Processing, User Modeling, Social Media Analytics, and, more generally, in artificial intelligence and communication. She seeks to understand how people communicate and to facilitate communication with information environments. With a Bachelor Degree from the University of Berkeley (California) and a PhD from Columbia University (New York), she has over to 25 years of experience in research and research management, and over 300 refereed publications. Her group develops systems that are being used in government and industry, in numerous domains, including service delivery, digital libraries, health, business intelligence and media monitoring. Dr Paris is a Fellow of the Australian Academy of Technology and Engineering (ATSE) and of the Royal Society of NSW.

Aditya Joshi

Aditya Joshi is a Postdoctoral Fellow at CSIRO Data61. He was awarded a joint PhD from Indian Institute of Technology Bombay, India, and Monash University, Australia. He is interested in natural language processing, specifically, sentiment analysis and health informatics. He has published in leading NLP conferences and journals such as ACM Computing Surveys, ACL, AAAI, EMNLP and COLING. His PhD thesis was published as a book, resulted in a pre-conference tutorial, and was the basis of his TEDx talk.

Chang Xu

Chang Xu is currently a Postdoctoral Fellow at Data61, CSIRO, Australia. He received his PhD degree in Computer Science from Nanyang Technological University in March 2017. His current interests include robust and explainable deep neural models for natural language processing.