Naslov
The NLP Powered BI Toolkit: The Case of MESOC

Autori
Bogović, Petar Kristijan ; Aljević, Dino ; Kovačić, Božidar ; Martinčić-Ipšić, Sanda

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) / Skala, K - : Institute of Electrical and Electronics Engineers (IEEE), 2022, 1191-1196

Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)

Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
societal impact ; natural language processing ; business intelligence ; keyword extraction: text classification ; semantic search

Sažetak
In this paper, we present a business intelligence (BI) toolkit based on natural language processing (NLP) methods for the arts and culture domain, collected in the Measuring the Social Dimension of Culture (MESOC) project. The main NLP methods in the underlying pipeline are keyword extraction, multi-label classification of texts, and detection of potential social impacts of cultural policies and practices, all trained on texts from open- access academic publications. The MESOC Toolkit is a georeferenced visualization tool for analyzing impact on social value creation in the areas of health and well-being, urban regeneration, and social cohesion, and enables semantic search for content in the MESOC domain. Therefore, the presented research can serve as a prototype for measuring societal value by identifying recurrent pathways of transformational processes in society that reach beyond the selected field of art and culture.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA