Sentiment analysis is more than just a binary classification problem. The use of jargon, slang and sarcasm makes it increasingly challenging to accurately identify the sentiment behind the words.
Join us to debate the best in class approaches from experts in language analysis. Our speakers will be Francis Bond and Benjamin Chu.
Francis Bond is an Associate Professor at the Division of Linguistics and Multilingual Studies, NTU, Singapore. His main research interest is in natural language understanding. He is an active member of the Deep Linguistic Processing with HPSG Initiative (DELPH-IN) and the Global WordNet Association. He is the co-coordinator of NTU's Digital Humanities Cluster.
Francis will present his work comparing sentiment cross-linguistically using wordnets. Giving examples from annotated texts in Chinese, English, Japanese and Indonesian, he will also compare results from a Polish lexicon produced by a different method, which suggests we can usefully transfer carefully built resources across languages.
Benjamin is an applied researcher and data scientist with more than 9 years experience in Artificial Intelligence, particularly Natural Language Processing and Knowledge Graph. He is currently working as a data scientist in Refinitiv, assessing hidden exposures to financial crime by applying graph analytics to a specialized knowledge graph that includes data on sanctioned companies and people.
Date & Location:
Tuesday, 28 May 2019, 7pm - 830pm
WeWork, Level 17, Suntec Tower 5, 5 Temasek Boulevard, Singapore[masked]
Please cancel your RSVP if you are unable to make it for the event.