Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art

Carlos A. Iglesias & J. Fernando Sánchez-Rada (2022). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Sara Carvalho & Renato Rocha Souza (editors), Proceedings of the Workshops and Tutorials - Language Data and Knowledge 2021 co-located with the Language, Data and Knowledge Conference (LDK 2021), pages 1-14. CEUR.

Abstract:
Sentiment Analysis has received plenty of attention from both industry and academia because its application can reveal new insights from social interactions. The wide range of final users of these services includes public services, businesses, and individuals. Linked data technologies provide an effective and seamless way for integrating services and interlinking language resources. This paper provides an introduction to the main approaches, applications, and datasets.