Scholarlink

This paper presents the development of an AI-powered mental health chatbot that leverages Natural Language Processing (NLP) and sentiment analysis to assist users experiencing stress, anxiety, or depression. The chatbot employs an LSTM-based neural network for contextual understanding and VADER for sentiment polarity detection, enabling emotion-aware responses in real-time. Using custom datasets and fine-tuned models, the chatbot offers private and scalable mental health support, particularly beneficial in underserved regions.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

AI-Powered Mental Health Chatbot Using NLP and Sentiment Analysis

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • A. Nageswari,
  • Vidhi R. Shah,
  • Shabana,
  • Asian Kumari

摘要

This paper presents the development of an AI-powered mental health chatbot that leverages Natural Language Processing (NLP) and sentiment analysis to assist users experiencing stress, anxiety, or depression. The chatbot employs an LSTM-based neural network for contextual understanding and VADER for sentiment polarity detection, enabling emotion-aware responses in real-time. Using custom datasets and fine-tuned models, the chatbot offers private and scalable mental health support, particularly beneficial in underserved regions.