Challenge: Using a linguistic perspective, emotion annotation is considered a difficult task because of the lack of consensus on emotional categories, the fuzziness of boundaries between them or the great variability of emotion expressions types.
Approach: They propose a scheme for emotion annotation and its manual application on a genre-diverse corpus of texts written in french.
Outcome: The proposed method clarifies the main concepts implied by the analysis of emotions as they are expressed in texts and performs a manual annotation campaign on a corpus of 1,594 texts (ca. 515K tokens) of different genres.

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Challenge: Existing frameworks for emotion recognition are limited and do not allow for categorical versus dimensional oppositions.
Approach: They propose to use the emotions joy, love, anger, sadness and fear as well as dimensional models to annotate texts from different domains and topics.
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An Analysis of Annotated Corpora for Emotion Classification in Text (C18-1)

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Challenge: Several datasets have been annotated and published for classification of emotions.
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Exploring the Emotional Dimension of French Online Toxic Content (2024.lrec-main)

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Challenge: Emotion annotations can be used to analyze content and can be applied to content analysis.
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Angry or Sad ? Emotion Annotation for Extremist Content Characterisation (2022.lrec-1)

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Challenge: Social platforms play an increasingly important role in the propagation of extremist ideas.
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Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions (C18-1)

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Challenge: Emotion analysis and classification is a challenging task which has been tackled with relatively straight-forward approaches.
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Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus (L18-1)

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Challenge: Existing methods for predicting emotion categories are limited due to their multi-label nature . e.g. anger, joy, sadness are difficult to predict due to inherent multi-genre nature - a problem that is often overlooked in single-genrete text.
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Learning and Evaluating Emotion Lexicons for 91 Languages (2020.acl-main)

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Challenge: Emotion lexicons describe the affective meaning of words but are limited in coverage for most languages.
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Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions (P18-2)

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Challenge: a corpus of 5,605 manually annotated sentences in Chinese is described . emotion is an abstract and vague conception, which is often described by metaphor .
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x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations (2022.lrec-1)

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Challenge: Emotion classification is often formulated as the task to categorize texts into a predefined set of emotion classes.
Approach: They propose that a classification setup for emotion analysis should be performed in an integrated manner, including the different semantic roles that participate in an emotion episode.
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Annotation of Emotion Carriers in Personal Narratives (2020.lrec-1)

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Challenge: PNs are recollections of facts, events, and thoughts that are best explained by speech or text segments . spoken PN is difficult because it is unstructured and involving multiple sub-events and characters as well as thoughts and associated emotions perceived by the narrator.
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