| Challenge: | a recent study has found that central bankers are communicating proactively to economic agents, resulting in a rapid growth of economic literature. |
| Approach: | They examine the affective content of central bank press statements using emotion analysis . they focus on the European Central Bank and the US Federal Reserve Bank . |
| Outcome: | The results show that the ECB and the Fed have strong emotional dimensions . the authors suggest that the use of emotion analysis could reveal latent emotions . |
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Yuqin Yang, Haowu Zhou, Haoran Tu, Zhiwen Hui, Shiqi Yan, HaoYang Li, Dong She, Xianrong Yao, Yang Gao, Zhanpeng Jin
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Emotion analysis and detection during COVID-19 (2022.lrec-1)
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| Challenge: | 3,000 English tweets labeled with emotions are used to predict emotions during crises . authors propose semi-supervised learning to bridge this gap . |
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Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions (2024.lrec-main)
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| Challenge: | Emotion analysis (EA) is a rapidly growing field in natural language processing . there is no consensus on scope, direction, or methods for EA . |
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| Challenge: | Existing frameworks for emotion recognition are limited and do not allow for categorical versus dimensional oppositions. |
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EmoTag1200: Understanding the Association between Emojis and Emotions (2020.emnlp-main)
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| Challenge: | Emojis are increasingly used to convey affect, but their use is not trivial. |
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Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada (2022.lrec-1)
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| Challenge: | a dataset of 45 million geo-located tweets from the US and Canada is used to analyze emotions . early work identified tweets as a crucial indicator of public sentiment . |
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Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts (2020.coling-main)
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| Challenge: | Aspect-based Sentiment Analysis (ABSA) aims at capturing sentiment expressed toward each aspect of a target entity. |
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GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves (2023.findings-emnlp)
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| Challenge: | We use GPT-4 to quantify dissent among members on the topic of inflation . transcripts and minutes reflect the diversity of member views in a way that is lost or omitted from the public statements. |
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