@conference {714,
	title = {PaloAnalytics project concept, scope and outcomes: an opportunity for culture},
	booktitle = {Proceedings of the Workshop on Cultural Informatics, co-located with the 14th International Workshop On Semantic And Social Media Adaptation And Personalization (SMAP 2019)},
	year = {2019},
	abstract = {This paper describes the national funded project entitled PaloAnalytics, which develops an innovative platform that allows companies and organizations, that operate in several countries, to monitor and analyze, in depth, the markets{\textquoteright} interest to their products and successfully plan their marketing and communication strategy, with data and insights collected from all the local media, and focuses on its application to cultural spaces and museums. In this notion, we examine the effect that this project can have in cultural spaces or companies related to arts and culture. PaloAnalytics platform allows organizations to investigate the impact of their products on consumers across different countries and this is achieved with the analysis of content from sites, blogs, social networks and open data. This implies that cultural organization can benefit by adopting the implemented services, so that the can recognize and analyze their audience, their online marketing campaigns as well as examine the impact of their messages and the spread of their messages on the Internet. In this paper, we briefly describe the project and discuss on the impact on cultural related organizations.},
	keywords = {big data, data monitoring, Data visualization, deep learning, influencers, infographics, trending topics},
	url = {http://ceur-ws.org/Vol-2412/paper7.pdf},
	author = {Vassilis Poulopoulos and Manolis Wallace and Costas Vassilakis and George Lepouras},
	editor = {Angeliki Antoniou and Manolis Wallace}
}
@conference {poulopoulos2018a,
	title = {The Effect of Social Media Trending Topics Related to Cultural Venues{\textquoteright} Content},
	booktitle = {2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)},
	year = {2018},
	month = {sep},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Social media have gained the majority of attention on the Internet having an extreme number of daily visitors worldwide. The amount of information exchanged is vast, while users have become equally producers and consumers of data. Words like {\textquotedblleft}trending{\textquotedblright}, {\textquotedblleft}influencers{\textquotedblright}, {\textquotedblleft}likes{\textquotedblright} and {\textquotedblleft}viral{\textquotedblright} are in the daily agenda of data analyzers, as they are associated with factors that play an important role in the influence of social media content to its audience. These aspects are nowadays strongly taken into account by organizations that want to draw the public{\textquoteright}s attention to the content they deliver, and in this context cultural institutions have already started to take under great consideration not only their presence in social media, but also the exploitation of social media dynamics. In this paper we propose a method that can enable cultural venues to benefit from matches between their own content and ongoing discussions on social media. More specifically we extract trending topics that can be related semantically with the content of a cultural institute and examine how a venue can benefit by exploiting these matches. The proposed algorithm has been developed in the scope of the {\textquotedblleft}CrossCult{\textquotedblright} H2020 project, and has been experimentally tested by analyzing the case of Twitter in Greek language.},
	keywords = {cultural informatics, cultural venues, personalization, social media, trending topics},
	doi = {10.1109/SMAP.2018.8501878},
	author = {Vassilis Poulopoulos and Costas Vassilakis and Manolis Wallace and Angela Antoniou and Giorgos Lepouras}
}
