Papers with sentiment extraction

2 papers
Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text (2021.findings-acl)

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Challenge: Existing methods for sentiment analysis do not consider direction of sentiments between political entities.
Approach: They propose a novel task of identifying directed sentiment relationship between political entities from a given news document.
Outcome: The proposed method is useful for social science research questions in the 2016 election and COVID-19.
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis (2022.coling-1)

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Challenge: Existing studies in Multimodal Sentiment Analysis lack a mechanism to understand complex relations between different modalities.
Approach: They propose a hierarchical graph contrastive learning framework for multimodal sentiment analysis that explores the relationships between modality representations.
Outcome: The proposed framework outperforms the state-of-the-art in multimodal sentiment analysis on two benchmark datasets.

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