A Comparison of Emotion Annotation Approaches for Text-Reference-Cited by-同舟云学术

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A Comparison of Emotion Annotation Approaches for Text

Published:2018-05-11 Issue:5 Volume:9 Page:117
ISSN:2078-2489
Container-title:Information
language:en
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Author:

Wood Ian,McCrae John,Andryushechkin Vladimir,Buitelaar Paul

Funder

Science Foundation Ireland

European Union

Publisher

MDPI AG

Subject

Information Systems

Link

http://www.mdpi.com/2078-2489/9/5/117/pdf

Reference32 articles.

1. Opinion Mining and Sentiment Analysis

2. Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text;Mohammad,2016

Cited by 4 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. Research on Emotion Recognition Model of Takeaway Evaluation Text Based on LSTM-CNN;Academic Journal of Science and Technology;2023-09-27

2. Computational emotion classification for genre corpora of German tragedies and comedies from 17th to early 19th century;Digital Scholarship in the Humanities;2023-07-18

3. Annotating affective dimensions in user-generated content;Language Resources and Evaluation;2021-01-19

4. Rating vs. paired comparison for the judgment of dominance on first impressions;IEEE Transactions on Affective Computing;2020

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