Current State of Text Sentiment Analysis from Opinion to Emotion Mining

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EEG Based Emotion Recognition: A Tutorial and Review (2022, background): “Emotion recognition contributes to building the human-centered information retrieval (IR) system [18, 19].”
A survey on empathetic dialogue systems (2020, unknown): “Emotion Rep. Data Source Keywords Zhou and Wang [45] TI,ST EA + EE 64 Emojis Tweets Conditional modeling; Reinforcement Learning Lubis et al. [46] TI,MT EA Latent Vector SubTle corpus [47] Training data processing Zhou et al. [9] TI,ST EA + EE 6-categorical STC [48] Modified loss; Auxiliary vocabula”
Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition (2021, methodology): “Traditional emotion recognition systems are built with nonphysiological signals [4], [5].”
Explainable Sentiment Analysis with Applications in Medicine (2018, background): “That is why Sentiment Analysis of a generic “text unit” encompasses problems related to the recognition of both emotions and opinions expressed in that unit [12].”
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges (2023, background): “Sentiment analysis can be divided into two tasks: opinion mining and emotion mining [2].”