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Mental-Health-Sentiment-Analysis-using-Deep-Learning

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software/mental-health-sentiment-analysis-using-deep-learning

A deep learning project using fine-tuned RoBERTa to classify mental health sentiments from text, aiming to provide early insights and support. ⚕️❤️

Machine-generated from the listed sources and not yet reviewed by a human.

Mental-Health-Sentiment-Analysis-using-Deep-Learning project image
GitHub preview card for indranil143/Mental-Health-Sentiment-Analysis-using-Deep-Learning. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · eda · emotion-detection · l2-regularization · logistic-regression · machine-learning · mental-health · mental-health-awareness
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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sources
  1. api.github.com/repos/indranil143/Mental-Health-Sentiment-Analysis-using-Deep-Learning
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-15, 37 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/21.json→ .entries["mental-health-sentiment-analysis-using-deep-learning"]

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