智能大学聊天机器人使用ML和Python

Hrushikesh Koundinya K, Ajay Krishna Palakurthi, Vaishnavi Putnala, Ashok Kumar K
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引用次数: 14

摘要

仅仅通过键盘使用服务的日子已经结束了。用户越来越多地通过语音助手和聊天机器人与系统进行交互。聊天机器人是一种计算机程序,可以在信息平台上使用人工智能与人类交谈。每次聊天机器人从用户那里获得输入,它都会保存输入和响应,这有助于聊天机器人在初始知识很少的情况下使用收集到的响应进行进化。随着响应的增加,聊天机器人的精度也得到了提高。该项目的最终目标是为Matrusri工程学院添加聊天机器人功能和API。该项目将研究人工智能和机器学习技术的进步如何被用于改善许多服务。具体来说,它将把聊天机器人的发展作为信息分发的渠道。程序从使用WordNet的最接近匹配语句中选择最接近匹配的响应,然后从已知的语句选择中为该响应选择响应。本项目旨在实现在线聊天机器人系统,以帮助访问大学网站的用户,使用自然语言处理等人工智能方法的工具,允许用户使用自然语言输入与大学聊天机器人进行交流,并使用适当的机器学习方法训练聊天机器人,使其能够生成响应。有许多应用程序结合了人类的外观并打算模拟人类的对话,但在大多数情况下,聊天机器人的知识存储在由人类专家创建的数据库中。
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Smart College Chatbot using ML and Python
The days of solely engaging with a service through a keyboard are over. Users interact with systems more and more through voice assistants and chatbots. A chatbot is a computer program that can converse with humans using Artificial Intelligence in messaging platforms. Every time the chatbot gets input from the user, it saves input and response which helps chatbot with little initial knowledge to evolve using gathered responses. With increased responses, precision of the chatbot also gets increases. The ultimate goal of this project is to add a chatbot feature and API for Matrusri Engineering College. This project will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services. Specifically it will look at development of chatbots as a channel for information distribution. The program selects the closest matching response from closest matching statement that matches input utilizing WordNet, it then chooses response from known selection of statements for that response. This project aimed to implement online chatbot system to assist users who access college website, using tools that expose Artificial Intelligence methods such as Natural Language Processing, allowing users to communicate with college chatbot using natural language input and to train chatbot using appropriate Machine Learning methods so it will be able to generate a response. There are numerous applications that are incorporating a human appearance and intending to simulate human dialog, yet in most part of the cases knowledge of chatbot is stored in a database created by a human expert.
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