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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

Leveraging BERT-Enhanced MLP Classifier for Automated Stress Detection in Social Media Articles

The record

Type
Publication
Date
1 January 2024
Level
National
Journal
2024 International Conference on Advances in Computing Research on Science Engineering and Technology Acroset 2024
Published
1 January 2024
DOI
10.1109/acroset62108.2024.10743857
Scopus ID
85211474350
Authors
6
Open access
No
Citations
2
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 3.5 Strengthen prevention and treatment of substance abuse, including narcotic drug abuse and harmful use of alcohol

    TargetPrimaryModerate confidenceJudged

    BERT-enhanced multilayer perceptron classifier for stress detection from social media articles achieving 95% accuracy with potential for mental health trend monitoring in online communities.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1.2 Health and well-being

    Sub-themePrimaryModerate confidenceJudged

    Health and well-being through digital tools for mental health monitoring and psychological distress detection.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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Citing this record

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KIIT Deemed to be University. “Leveraging BERT-Enhanced MLP Classifier for Automated Stress Detection in Social Media Articles”. Kortex.

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