Yunita Sari, Ph.D
Department of Computer Science and Electronics,
Faculty of Mathematics and Natural Science,
Universitas Gadjah Mada, Indonesia.
She received her bachelor degree in Computer Science from Universitas Gadjah Mada and Master in Information Technology from Universiti Teknologi PETRONAS, Malaysia. She got Ph.D degrees in Natural Language Processing from the Department of Computer Science, University of Sheffield, UK where she did a research on Neural and Non-Neural models for authorship attribution. Her research interests are (but not limited to) Authorship Identification, Social Media Analysis, Text Summarisation, Essay Scoring and Machine Learning. She is currently involved in several projects related to Natural Language Processing.
Tutorial Title: What can Natural Language Processing do in a disaster?
In the disaster situation, social media can play an important role for propagating information among people. While most communication channels are unavailable, Twitter emerges as an alternative media for reporting problems and aid messages. However, with the massive amounts of information that have been produced by users, it is very challenging to identify the right and relevant information. In this tutorial, we are going to discuss on how Natural Language Processing can help addressing the problems. The talk will be focusing on the current state of the art methods in this area, challenges and research directions to be explored.