Emotion recognition in conversation: Research challenges, datasets, and recent advances

S Poria, N Majumder, R Mihalcea, E Hovy - IEEE access, 2019 - ieeexplore.ieee.org
Emotion is intrinsic to humans and consequently, emotion understanding is a key part of
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …

Directed acyclic graph network for conversational emotion recognition

W Shen, S Wu, Y Yang, X Quan - arxiv preprint arxiv:2105.12907, 2021 - arxiv.org
The modeling of conversational context plays a vital role in emotion recognition from
conversation (ERC). In this paper, we put forward a novel idea of encoding the utterances …

Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation

D Ghosal, N Majumder, S Poria, N Chhaya… - arxiv preprint arxiv …, 2019 - arxiv.org
Emotion recognition in conversation (ERC) has received much attention, lately, from
researchers due to its potential widespread applications in diverse areas, such as health …

Sentiment analysis: A survey on design framework, applications and future scopes

M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Dialoguernn: An attentive rnn for emotion detection in conversations

N Majumder, S Poria, D Hazarika, R Mihalcea… - Proceedings of the …, 2019 - ojs.aaai.org
Emotion detection in conversations is a necessary step for a number of applications,
including opinion mining over chat history, social media threads, debates, argumentation …

[HTML][HTML] Integrating multimodal information in large pretrained transformers

W Rahman, MK Hasan, S Lee, A Zadeh… - Proceedings of the …, 2020 - ncbi.nlm.nih.gov
Recent Transformer-based contextual word representations, including BERT and XLNet,
have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the …

COGMEN: COntextualized GNN based multimodal emotion recognitioN

A Joshi, A Bhat, A Jain, AV Singh, A Modi - arxiv preprint arxiv …, 2022 - arxiv.org
Emotions are an inherent part of human interactions, and consequently, it is imperative to
develop AI systems that understand and recognize human emotions. During a conversation …