Mar 22, 2019 · In the proposed model, two guided attention layers are involved. One is guided by the context information from headlines to generate emotion ...

In this paper, we come up with an emotion dependency-aware attention model, which makes the best use of label information and the emotion dependency prior ...

In this paper, we come up with an emotion dependency-aware attention model, which makes the best use of label information and the emotion dependency prior ...

Dependency-Aware Attention Model for Emotion Analysis for Online News. PAKDD ... Jointly Trained Convolutional Neural Networks for Online News Emotion Analysis.

An efficient algorithm and three pruning strategies are proposed to automatically build a word-level emotional dictionary for social emotion detection and a ...

Oct 6, 2021 · This work aims to understand the coarse-grained emotion construction and their dependency by incorporating fine-grained emotions from domain knowledge.

Latent Discriminative Models for Social Emotion Detection with Emotional Dependency ... Dependency-Aware Attention Model for Emotion Analysis for Online News ...

Jun 15, 2024 · We propose the Deep Parallel Contextual Analysis Framework (DPCAF) in the community wellness domain, specifically addressing the challenges of limited text ...

Jul 10, 2024 · In this paper, we address this challenge by proposing a novel AI framework for the adaptable, robust, and explainable detection of multi-granular assembles of ...

Mar 15, 2024 · In this paper, we introduce MOOD (Meme emOtiOns Dataset), which embodies six basic emotions. We then present ALFRED (emotion-Aware muLtimodal ...