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August 16, 2026Advanced ElectromagneticsOpen Access

Application of Social Network Text Sentiment Analysis in Monitoring Students’ Mental State

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Authors

XJX. JiXi'an International Studies University

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Overview

Deep learning analysis demonstrates accurate psychological risk detection from social media in students, highlighting the potential for real-time mental health early warning systems.

Key Points

  • To develop and evaluate a deep-learning sentiment analysis framework that integrates contextual semantic modeling and temporal emotion dynamics to monitor students' mental states from social network text.
  • Processed, normalized, and vectorized 12,500 annotated social-network texts collected from 850 users.
  • Extracted contextual semantic features using BERT, modeled sequential emotional dependencies with a BiLSTM, and applied an emotion-intensity attention mechanism.
  • Built a continuous time-window psychological-state scoring model and risk-discrimination function combining emotional intensity and temporal variation.
  • Multi-class emotion recognition achieved an average F1 score of 0.89 across evaluated social-network texts.
  • Depressive emotion recognition specifically reached an F1 score of 0.91.
  • High-risk student identification demonstrated an overall classification accuracy of 0.94.

Cite This Study

X. Ji (2026) studied this question.

synapsesocial.com/papers/6a817a80f2fb91fc834ae5a8https://doi.org/10.7716/aem.v15i3.3967
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Student mental health assessment based on social sentiment analysis and multi-branch neural networks2026
  2. 2Mental Health Detection, Social Media Analysis, Machine Learning2026
  3. 3250. Artificial intelligence–driven real-time detection of anxiety symptoms among college students: a campus social media text analysis approach2026
  4. 4A Multi-Scale Deep Learning Architecture for Psychological State Recognition and Early Risk Warning from Social Media Text2026
  5. 5PsyAI-Net: An Intelligent Hybrid Machine Learning Framework For Early Mental Health Risk Prediction Using Social Media Text Analytics2026