Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
Author:
Affiliation:
1. IIT Kharagpur, Kharagpur, India
2. MAIS Bangalore, Bangalore, India
Funder
Federal Ministry of Education and Research (BMBF) Germany
IMPRINT-2 MHRD India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3404835.3463080
Reference30 articles.
1. S. Akhtar D. Ghosal A. Ekbal P. Bhattacharyya and S. Kurohashi. 2019. All-in-One: Emotion Sentiment and Intensity Prediction using a Multi-task Ensemble Framework. IEEE Transactions on Affective Computing (2019) 1--1. https://doi.org/10.1109/TAFFC.2019.2926724 S. Akhtar D. Ghosal A. Ekbal P. Bhattacharyya and S. Kurohashi. 2019. All-in-One: Emotion Sentiment and Intensity Prediction using a Multi-task Ensemble Framework. IEEE Transactions on Affective Computing (2019) 1--1. https://doi.org/10.1109/TAFFC.2019.2926724
2. NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
3. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
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