Sentiment-Analysis-for-Mental-Health
importedsoftware/sentiment-analysis-for-mental-health
This project focuses on sentiment analysis for mental health statements using machine learning techniques.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- machine-learning · mental-health · nlp · sentiment-analysis
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Manas-MentalHealth_Chatbotmental-health · sentiment-analysis
Created a Chatbot using Machine learning models such as SVM,BERT embeddings,Sentiment Analysis and Created GUI in tkinter for above
- covid_sentiment_analysissentiment-analysis
Code, analysis and data for the paper Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies.
- aishikabotmental-health · nlp
Aishika is Cognitive Behavioral Therapy Bot that will help to provide easy access to mental health care.
- AMIOKmental-health · nlp
[제 11회 투빅스 컨퍼런스] AM I OK ? - 전문의 답변 기반 심리진단 AI
- Diachronic-Semantic-Shift-Mental-Health-Terms-Twittermental-health · nlp
Quantifying lexical semantic change of 'toxic', 'healing', 'burnout' on Twitter via temporal Word2Vec + Procrustes alignment | displacement scores, nearest-neighbor shift, t-SNE visualization
- harmonymental-health · nlp
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
- api.github.com/repos/khemthit/Sentiment-Analysis-for-Mental-Healthretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-08-27, 6 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 →
/v1/entries/14.json→ .entries["sentiment-analysis-for-mental-health"]
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