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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Emotional Support Chatbot Using Sentiment Analysis
Authors Name: Akshay Gupta , Mahek Thakur , Nidhi Jain , Yash Gupta , Sana Danwani
Unique Id: IJSDR2305022
Published In: Volume 8 Issue 5, May-2023
Abstract: AI technology is advancing quickly, and its effects are being seen in various fields. One of the most significant applications of AI is in the medical field, where it can be used to improve mental health. With the help of text-Davinci003 model,which is one of the most powerful models of GPT 3, A chatbot is a promising tool to assist with user health initiatives, so a chatbot can be created that can generate text based on user input, we can provide support for users who need it without having them speak directly with a human operator. Natural language processing(NLP) is used by the system to analyse user input and determine the tone of the user's text. The system then responds appropriately using the results of the sentiment analysis. The Hugging Face model, EmoRoBERT, allows for the categorization of user conversation into 28 different emotions. which, at the conclusion of the talk, aids in determining the user's overall emotional state. By using podcasts, music & games as part of our service platform ,we ai
Keywords: chatbot , sentiment analysis , emotional support , NLP, GPT-3, Hugging Face , OpenAI, Mental Health
Cite Article: "Emotional Support Chatbot Using Sentiment Analysis", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.157 - 163, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305022.pdf
Downloads: 000336257
Publication Details: Published Paper ID: IJSDR2305022
Registration ID:205873
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 157 - 163
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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