Every day, more information moves through social networks. Users publish content in the form of text, images, video, audio or a combination of them to express their opinions, relate facts that are happening at that moment or show situations of interest. Also, this content is published using mobile devices that are commonly equipped with different outdoor and indoor positioning technologies (e.g., GPS, RFID or Bluetooth) that allows to attach certain geo-tags to the users’ posts as meta-data. This opens a new line of research related to the analysis and interpretation of the multi-modal information flowing through online social networks. However, the fusion, integration and analysis of this heterogeneous data poses serious challenges so as to come up to truly effective services leveraging social-media content in fields like predictive analytics or event detection

This workshop focuses on intelligent solutions for social-media processing that considers such an inherent heterogeneity. This way, mechanisms able to extract knowledge from multimedia data posted by users in online social media platforms or the fusion of different types of data coming from these feeds would be of special interest.

This workshop will be held as a co-located event in the 19th International Conference on Intelligent Environments (IE'23) .

Erik Cambria

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore) and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. His research focuses on neurosymbolic AI for explainable natural language processing in domains like sentiment analysis, dialogue systems, and financial forecasting. He is recipient of several awards, e.g., IEEE Outstanding Career Award, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of many top-tier AI journals, such as Information Fusion and IEEE Transactions on Affective Computing, and is involved in various international conferences as program chair and SPC member.