论文标题

使用RASA框架进行大学查询,根据深度学习开发FB聊天机器人

Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries

论文作者

Windiatmoko, Yurio, Hidayatullah, Ahmad Fathan, Rahmadi, Ridho

论文摘要

由人工智能提供支持的大学的智能系统已经大规模开发,以帮助人类完成各种任务。聊天机器人概念不是当今社会的新事物,它正在通过最近的技术发展。大学生或大学生的候选人通常需要实际信息,例如向客户服务寻求某些东西,尤其是在这个大流行期间,很难立即面对面的会议。聊天机器人在功能上在课程信息,新学生的入学,安排任何演讲课程的信息,学生成绩信息以及一些穆斯林崇拜时间表的功能以及天气预报信息方面提供了帮助。该聊天机器人是由深度学习模型开发的,该模型是由人工智能模型采用的,该模型通过一些特定的培训方案复制了人类智能。这种深度学习是基于RNN,它具有一些针对深度学习模型的特定内存储蓄方案,特别是使用LSTM的聊天机器人,该聊天机器人已经通过RASA Framework进行了集成。 LSTM也被称为长期内存,可有效保存一些必需的内存,但会删除不需要的一些内存。该聊天机器人使用FB平台,因为FB用户已经达到了印度尼西亚的整个人口的60.8%。这是聊天机器人仅着眼于伊斯兰印度尼西亚大教堂信息学大学校园的案例研究。这项研究是相当足够的模拟数据中的第一阶段发展。

Smart systems for Universities powered by Artificial Intelligence have been massively developed to help humans in various tasks. The chatbot concept is not something new in today society which is developing with recent technology. College students or candidates of college students often need actual information like asking for something to customer service, especially during this pandemic, when it is difficult to have an immediate face-to-face meeting. Chatbots are functionally helping in several things such as curriculum information, admission for new students, schedule info for any lecture courses, students grade information, and some adding features for Muslim worships schedule, also weather forecast information. This Chatbot is developed by Deep Learning models, which was adopted by an artificial intelligence model that replicates human intelligence with some specific training schemes. This kind of Deep Learning is based on RNN which has some specific memory savings scheme for the Deep Learning Model, specifically this chatbot using LSTM which already integrates by RASA framework. LSTM is also known as Long Short Term Memory which efficiently saves some required memory but will remove some memory that is not needed. This Chatbot uses the FB platform because of the FB users have already reached up to 60.8% of its entire population in Indonesia. Here's the chatbot only focuses on case studies at campus of the Magister Informatics FTI University of Islamic Indonesia. This research is a first stage development within fairly sufficient simulate data.

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