Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation-Reference-Cited by-同舟云学术

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Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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Author:

Öhman Emily,Kajava Kaisla,Tiedemann Jörg,Honkela Timo

Publisher

Association for Computational Linguistics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FinnSentiment: a Finnish social media corpus for sentiment polarity annotation;Language Resources and Evaluation;2023-03-03

2. Automatically Classifying Emotions based on Text: A Comparative Exploration of Different Datasets;2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI);2022-10

3. An Enhanced Context-based Emotion Detection Model using RoBERTa;2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT);2022-07-08

4. A survey on the use of data and opinion mining in social media to political electoral outcomes prediction;Social Network Analysis and Mining;2021-10-20

5. The Aesthetics of Language;SSRN Electronic Journal;2021

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