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2020 AAAI AAAI 2020

Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data

Abstract

Abstract 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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning and Interdisciplinary and Machine Learning
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Annika Marie Schoene

Topics

Deep Learning > Architectures > Neural Networks Interdisciplinary > Social > Social Media Analysis Machine Learning > Learning Types > Deep Learning Artificial Intelligence > Core AI > Natural Language Processing

Keywords

sentiment analysis fine-grained classification emotion detection recurrent neural network social media text target-dependent classification
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