Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports

Aleksandra Edwards, David Rogers, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece. Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports. In Sarra Ben Abbès, Rim Hantach, Philippe Calvez, Davide Buscaldi, Danilo Dessì, Mauro Dragoni, Diego Reforgiato Recupero, Harald Sack, editors, Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th - 7th, 2021 (moved online). Volume 2918 of CEUR Workshop Proceedings, pages 1-10, CEUR-WS.org, 2021. [doi]

Abstract

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