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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: | 000222060 |
| 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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