论文标题
基于人工智能的聊天机器人：利用客户服务援助的方法
AI Based Chatbot: An Approach of Utilizing On Customer Service Assistance
论文作者
论文摘要
提供最佳的客户体验是基于在线的公司的主要问题之一。机器学习的进步正在通过实施聊天机器人解决方案来改善服务质量的态度，从而彻底改变了公司对客户的态度，这为用户即时和令人满意的答案提供了询问的答案。随着聊天机器人系统的新提高和效率，这项技术的接受正在增加。该论文论文将涵盖公司的聊天机器人系统的概念，因为我们采用了AK Traders Ltd.的用例。它涉及可用的各种聊天机器人技术的研究工作，并基于研究，使用它们为公司开发聊天机器人系统。该系统将基于文本作为对话代理，可以通过自然语言与人互动。主要目标项目是开发聊天机器人解决方案，该解决方案可以遵守一个定义明确的方法，可以遵守复杂的问题和逻辑输出答案。最终目标是根据用户输入（问题）给出高质量的结果（答案）。为了成功实施该项目，我们对可用的各种机器学习技术进行了深入的分析，并遵循结构良好的实施，以找出最佳解决方案。该项目的主要关注点包括自然语言处理（NLP），机器学习和矢量空间模型（VSM）。该项目的结果显示了在合理质量层面为公司实施聊天机器人系统的解决问题的技术
Providing the best customer experience is one of the primary concerns for the firms that are based online. The advancement of machine learning is revolutionising the company's attitude towards the client through improving the service quality by implementing chatbot solutions, which gives the user instant and satisfactory answers to their enquiries. The acceptance of this technology is increasing with the new improvements and efficiency of the chatbot system. This thesis paper will cover the concept of chatbot system for the company, as a use case we took AK traders Ltd. It involves the research work on various chatbot technologies available and based on research, use them to develop a chatbot system for the company. This system will work based on the text as a conversational agent that can interact with humans by natural language. The main objective project is to develop the chatbot solution that could comply with complex questions and logical output answers in a well-defined approach. The ultimate goal is to give high-quality results (answers) based on user input (question). For the successful implementation of this project, we have undertaken an in-depth analysis of the various machine learning techniques available and followed well-structured implementation to figure out the best solution for the company. The primary concern of this project includes natural language processing (NLP), machine learning and the vector space model (VSM). The outcome of the project shows the problem-solving technique for the implementation of the chatbot system for the company at a reasonable quality level
