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This is a Quantitative Study study.

September 24, 2025Indonesian Journal on Computing (Indo-JC)Open Access

Visualizing Functional Emotions: Mapping Counseling Responses from Text to Virtual Facial Expressions

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Authors

RPRifki PadilahTelkom University RWRifki WijayaTelkom University SSShaufiah ShaufiahTelkom University

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Implication

This analysis demonstrates an IndoRoBERTa-based system achieving 89% accuracy in counseling responses, indicating a significant advancement in virtual emotional support.

Key Points

The IndoRoBERTa model achieves an accuracy rate of 89% in classifying counseling responses.
Five functional emotion categories are used: Enthusiasm, Gentleness, Analytical, Inspirational, and Cautionary.
This virtual system addresses the limitations of conventional counseling services in rural areas.
The technology translates textual emotions into visual expressions, enhancing initial empathetic support.

Cite This Study

Padilah et al. (2025) studied this question.

synapsesocial.com/papers/68d6d8ba8b2b6861e4c3f06b https://doi.org/10.21108/indojc.v10i1.9707

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Implication

This analysis demonstrates an IndoRoBERTa-based system achieving 89% accuracy in counseling responses, indicating a significant advancement in virtual emotional support.

Visualizing Functional Emotions: Mapping Counseling Responses from Text to Virtual Facial Expressions

Discussion

Member takes

Implication

Key Points

Cite This Study

Visualizing Functional Emotions: Mapping Counseling Responses from Text to Virtual Facial Expressions

Discussion

Member takes

Implication

Key Points

Cite This Study

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