Enriching social analytics with latent Twitter image information
Data
2020Language
en
Soggetto
Abstract
In this paper, we propose a framework that uses latent information from Twitter images by employing the Google Cloud Vision API platform aiming at enriching social analytics with semantics and textual information. Our study reveals that user-generated content, linked data as well as hidden concepts and textual information from social images can be highly considered for enriching social analytics. Finally, we publish our annotated dataset for further use and evaluation from our researchcommunity. © 2020 IEEE.