{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T03:39:06Z","timestamp":1725766746858},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.5220\/0012725700003717","type":"proceedings-article","created":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T12:36:48Z","timestamp":1714567008000},"page":"69-78","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Multimodal Large Language Models and Natural Language Processing Techniques for Comprehensive ESG Risk Score Prediction"],"prefix":"10.5220","author":[{"given":"Abhiram","family":"Nandiraju","sequence":"first","affiliation":[{"name":"Frisco High School, Frisco, U.S.A., --- Select a Country ---"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siddha","family":"Kanthi","sequence":"additional","affiliation":[{"name":"Reedy High School, Frisco, U.S.A., --- Select a Country ---"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3171","event":{"name":"6th International Conference on Finance, Economics, Management and IT Business","start":{"date-parts":[[2024,4,28]]},"location":"Angers, France","end":{"date-parts":[[2024,4,29]]}},"container-title":["Proceedings of the 6th International Conference on Finance, Economics, Management and IT Business"],"original-title":["Leveraging Multimodal Large Language Models and Natural Language Processing Techniques for Comprehensive ESG Risk Score Prediction"],"deposited":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T16:43:30Z","timestamp":1717433010000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0012725700003717"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0012725700003717","relation":{},"subject":[],"published":{"date-parts":[[2024]]}}}