Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data
This paper states the challenges in fine-grained target-dependent Sentiment Analysis for social media data using recurrent neural networks. First, the problem statement is outlined and an overview of related work in the area is given. Then a summary of progress and results achieved to date and a research plan and future directions of this work are given.
How to Cite
Schoene, A. M. (2020). Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data. Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13732-13733. https://doi.org/10.1609/aaai.v34i10.7138
Doctoral Consortium Track