AI/ML Sentiment Analysis Model for Medical Chatbot: A Review

Gagandeep Kaur, Ajay Sharma
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Abstract

Chatbots have become a prominent element in conversational services since the creation of the ultimate virtual assistants. A chatbot is a computer programme that replicates and identifies textual or verbal human dialogue, allowing users to interact with digital devices in the same way as it is done with actual people. They can be one-line applications that respond to a query, or they could be as virtual assistants that respond and adapt as they collect and analyze data to create increasingly personalized experiences. There are many research areas and opportunities in the domain of medical chatbot. This paper outlines the steps involved in creating a chatbot, the algorithm it uses, and how to get the data set needed to train the chatbots utilized in healthcare communication. The important future directions are also discussed in this paper.
AI/ML医疗聊天机器人情感分析模型综述
自从终极虚拟助手诞生以来,聊天机器人已经成为会话服务中的一个重要元素。聊天机器人是一种计算机程序,可以复制和识别文本或口头的人类对话,允许用户以与真人相同的方式与数字设备进行交互。它们可以是响应查询的单行应用程序,也可以是在收集和分析数据时响应和调整的虚拟助手,以创建越来越个性化的体验。在医疗聊天机器人领域有许多研究领域和机会。本文概述了创建聊天机器人所涉及的步骤,它使用的算法,以及如何获得训练医疗保健通信中使用的聊天机器人所需的数据集。本文还对未来的重要方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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