AI-Powered Mental Health Chatbot Using NLP and Sentiment Analysis

Lecture notes in networks and systems 2026 Open access

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Authors: A. Nageswari, Vidhi R. Shah, Shabana, Asian Kumari
DOI: 10.1007/978-981-95-5079-1_4
Cited by: 0
References: 9

Abstract

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.

Fields of Study & Subjects

Digital Mental Health Interventions Mental Health via Writing Emotion and Mood Recognition

Publication details

Journal / source
Lecture notes in networks and systems
Pages
28–35
Publication date
1 January 2026
Language
EN