The IEEE International Conference on Big Data Analysis (ICBDA 2016) was held March 12-14 2016 in Hangzhou, China, sponsored by the IEEE and the Information Transmission and Dissemination in Communication Networks Laboratory.
Inspiring and thought provoking keynote speeches were given by Dr. Simon Fong, Prof. Richard Millham, Prof. Wenyu Zhang, Prof. Kang Zhang, Prof. Yulin Wang, Prof. Steven Guan and Prof. Zhi-Gong Wang.
There were 5 author presentation sessions, namely data mining and modeling, big data analysis and processing, big data security and management, computer science and application of big data. Most of the papers focus on the application of social media data and other big data sources for various purposes, for example, counter-terrorism research and original sustainability measurement.
During the data mining and modelling session, we presented the paper “Sentiment analysis in a cross media analysis framework”. In our paper, we mainly introduced the implementation and integration of a sentiment analysis pipeline in the MICO framework. Our presentation included the introduction of currently available cross-media analysis solutions with their limitations, the motivation and genesis of the MICO project along with its main goals, the core architecture of the MICO platform, the illustration of the broker web interface with ASR and sentiment analysis pipelines. We also discussed the comparative study we undertook to evaluate the performance of lexicon-based and machine learning approaches to sentiment analysis.