Browse State-of-the-Art › Emotion Classification
Emotion Classification
117 papers with code · 9 benchmarks · 27 datasets archive 2025-07-28
Emotion classification, or emotion categorization, is the task of recognising emotions to classify them into the corresponding category. Given an input, classify it as 'neutral or no emotion' or as one, or more, of several given emotions that best represent the mental state of the subject's facial expression, words, and so on. Some example benchmarks include ROCStories, Many Faces of Anger (MFA), and GoEmotions. Models can be evaluated using metrics such as the Concordance Correlation Coefficient (CCC) and the Mean Squared Error (MSE).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
9 leaderboard tables shown for this task, 9 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
27 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 117 papers with code (458 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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20 Oct 2017 18 repositories listed Syntology ran 1 of 17 samples · 16 unverifiedIn this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.
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1 May 2020 9 repositories listed Syntology ran 0 of 10 samples · 10 unverifiedUnderstanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior.
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17 Apr 2021 4 repositories listedA Bengali emotion corpus consists of 6243 texts is developed for the classification task.
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10 Oct 2018 4 repositories listedSpeech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers.
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18 Apr 2018 3 repositories listedIn this paper we present deep-learning models that submitted to the SemEval-2018 Task~1 competition: "Affect in Tweets".
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23 Jan 2023 2 repositories listedThere has been growing interest in applying NLP techniques in the financial domain, however, resources are extremely limited.
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4 Sep 2021 2 repositories listedIdentifying emotions from text is crucial for a variety of real world tasks.
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10 Jun 2021 2 repositories listed Syntology ran 3 of 7 samples · 4 unverifiedInspired by the success of pre-training models in natural language processing, in this paper, we develop MusicBERT, a large-scale pre-trained model for music understanding.
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31 Mar 2021 2 repositories listedMoreover, it is shown that the usage of our neural network as a feature extractor of facial regions in video frames and concatenation of several statistical functions (mean, max, etc.)
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31 Mar 2021 2 repositories listedIn this paper, the multi-task learning of lightweight convolutional neural networks is studied for face identification and classification of facial attributes (age, gender, ethnicity) trained on cropped faces without…
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8 May 2020 2 repositories listedWe propose SentiBERT, a variant of BERT that effectively captures compositional sentiment semantics.
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8 Apr 2020 2 repositories listedConsequently, we explore cross-lingual transfer approaches for fine-grained emotion detection in Spanish and Catalan tweets.
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22 Dec 2019 2 repositories listedIn this work, we conduct an extensive comparison of various approaches to speech based emotion recognition systems.
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2 Dec 2019 2 repositories listedThese neural models annotate the emotion corpora with dialogue act labels, and an ensemble annotator extracts the final dialogue act label.
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30 Aug 2019 2 repositories listed Syntology ran 0 of 4 samples · 4 unverifiedEmotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.
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23 Apr 2019 2 repositories listedAs opposed to using knowledge from both the modalities separately, we propose a framework to exploit acoustic information in tandem with lexical data.
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1 Nov 2018 2 repositories listedEmotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in…
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23 Oct 2018 2 repositories listedClassification of human emotions remains an important and challenging task for many computer vision algorithms, especially in the era of humanoid robots which coexist with humans in their everyday life.
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13 Aug 2017 2 repositories listedWe provide empirical evidence of the performance of EmoTxt.
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30 May 2025 1 repository listedHowever, their capabilities in affective analysis (i.
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29 May 2025 1 repository listedThis work contributes to opinion mining by providing structured guidelines, an annotated dataset, and insights for developing automated pipelines to capture the complexity of emotions in app reviews.
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12 May 2025 1 repository listedThe advent of multimodal data and widespread communication has led to a proliferation of multimodal metaphors, amplifying the complexity of emotion classification compared to single-mode scenarios.
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11 May 2025 1 repository listedIn this paper, we propose a novel Micro-Expression Large Language Model (MELLM), which incorporates a subtle facial motion perception strategy with the strong inference capabilities of MLLMs, representing the first…
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28 Feb 2025 1 repository listed Syntology ran 1 of 14 samples · 13 unverifiedEEG emotion recognition faces significant hurdles due to noise interference, signal nonstationarity, and the inherent complexity of brain activity which make accurately emotion classification.
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27 Feb 2025 1 repository listedThis paper presents a novel approach for multi-label emotion detection, where Llama-3 is used to generate explanatory content that clarifies ambiguous emotional expressions, thereby enhancing RoBERTa's emotion…
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17 Feb 2025 1 repository listedTo this end, we developed the VANPY (Voice Analysis in Python) framework for automated pre-processing, feature extraction, and classification of voice data.
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23 Jan 2025 1 repository listedMemes have emerged as a powerful form of communication, integrating visual and textual elements to convey humor, satire, and cultural messages.
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19 Jan 2025 1 repository listedSubtask 1 revolves around the extraction of textual emotion-cause pairs, where causes are defined and annotated as textual spans within the conversation.
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15 Jan 2025 1 repository listedMental health is a critical global public health issue, and psychological support hotlines play a pivotal role in providing mental health assistance and identifying suicide risks at an early stage.
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14 Jan 2025 1 repository listedFacial expressions play a crucial role in human communication serving as a powerful and impactful means to express a wide range of emotions.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections