Mental health chatbot with mood visualization
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Abstract
Stress, anxiety, depression, and emotional imbalance are measurable trends among the student population and young adults. Even though the understanding of these issues has been raised, still a great number of people reluctant to ask for professional help because of the social stigma, limited accessibility, lack of time, and financial barriers. This paper introduces the design and implementation of a Mental Health Support Chatbot, which offers the initial emotional support through a text-based conversation. The envisaged framework implements a rule-based mood detection method, wherein the user statements are examined with the help of the predetermined keywords and patterns. The chatbot, based on the recognized emotional state, thus, composes the empathetic and encouraging utterances which are generally based on the supportive counseling principles
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Sanjana, Ruchitha M, Dr. Sunitha Y N (2025). Mental health chatbot with mood visualization . International Journal of Technology & Emerging Research (IJTER), 1(8), 55-60. https://doi.org/10.64823/ijter.2508006
BibTeX
@article{ijter2025212512173427,
author = {Sanjana and Ruchitha M and Dr. Sunitha Y N},
title = {Mental health chatbot with mood visualization },
journal = {International Journal of Technology & Emerging Research },
year = {2025},
volume = {1},
number = {8},
pages = {55-60},
doi = {10.64823/ijter.2508006},
issn = {3068-109X},
url = {https://www.ijter.org/article/212512173427/mental-health-chatbot-with-mood-visualization},
abstract = {Stress, anxiety, depression, and emotional imbalance are measurable trends among the student population and young adults. Even though the understanding of these issues has been raised, still a great number of people reluctant to ask for professional help because of the social stigma, limited accessibility, lack of time, and financial barriers. This paper introduces the design and implementation of a Mental Health Support Chatbot, which offers the initial emotional support through a text-based conversation. The envisaged framework implements a rule-based mood detection method, wherein the user statements are examined with the help of the predetermined keywords and patterns. The chatbot, based on the recognized emotional state, thus, composes the empathetic and encouraging utterances which are generally based on the supportive counseling principles},
keywords = {Mental health chatbot, rule-based system, emotion detection, artificial intelligence},
month = {Dec},
}
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Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.