Review On Using Machine Learning and Deep Learning Algorithms for Emotion Analysis

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Literature review explores methods in emotion analysis of social media text, highlighting challenges for Arabic data.

Emotion analysis of social media text offers deep insights into people's feelings, and can guide organizations in decision-making.
Key evidence shows that analysis of Twitter and other platforms helps organizations understand public sentiment and opinions.
The approach involves a systematic literature review encompassing over 60 relevant publications evaluating TBEA methods across various disciplines.
Emotion detection in Arabic text remains underexplored, indicating a gap that may affect the overall classification performance in this area.

Aljradi et al. (2024) studied this question.

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View Full Paper

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Authors

Literature review explores methods in emotion analysis of social media text, highlighting challenges for Arabic data.

Emotion analysis of social media text offers deep insights into people's feelings, and can guide organizations in decision-making.
Key evidence shows that analysis of Twitter and other platforms helps organizations understand public sentiment and opinions.
The approach involves a systematic literature review encompassing over 60 relevant publications evaluating TBEA methods across various disciplines.
Emotion detection in Arabic text remains underexplored, indicating a gap that may affect the overall classification performance in this area.

Aljradi et al. (2024) studied this question.

View Full Paper

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Bookmark