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) .
Areas of interest include, but are not limited to, the following ones:
Instructions for Authors:
Sentiment analysis has become an indispensable tool in various domains, including e-business, e-commerce, e-tourism, e-mobility, e-governance, e-security, e-learning, and e-health. By analyzing public opinion and preferences, organizations and policymakers can make data-driven decisions to improve their products, services, and policies. The implementation of sentiment analysis across these domains not only enhances customer satisfaction and engagement but also contributes to the overall growth and development of these industries.
If you have any questions, please do not hesitate to contact the program chairs.