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Found 2 papers, 1 papers with code
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
In this paper, we propose a framework that helps identify denier statements on Twitter and thus classifies the stance of the tweet into one of the two attitudes towards climate change (denier/believer).
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter
Experimental results indicate that the proposed framework boosts the performance of the primary task, i. e., TA classification (TAC) by benefitting from the two secondary tasks, i. e., Sentiment and Emotion Analysis compared to its uni-modal and single task TAC (tweet act classification) variants.
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