Emotion-Annotated Data in NLP: Perspectives on Recent Resources and Practices
Keywords: emotion recognition, emotion detection, emotion-annotated data, emotion-annotated corpora
TL;DR: We present a summary of our findings and observations based on our ongoing in-depth study of recent emotion-annotated resources and related practices.
Abstract: Automated Emotion Recognition in language is a challenging task that has attracted considerable attention especially in recent years. We present a summary of our findings and observations based on a thorough analysis of recent resources and related practices.
Disclosure: The in-depth study and analysis is part of a journal article (in process). This extended abstract submitted to WiNLP summarizes our findings and observations citing example articles: they should be interpreted as representative examples and not as a comprehensive review.
Submission Number: 68
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