基于自然语言意识的祈祷咨询系统(NLU)

Muhammad Rizqi Sholahuddin, Firas Atqiya
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引用次数: 3

摘要

聊天机器人是一种智能系统,它通过书面媒体为用户提供与机器的直接交互。本文描述了如何使用聊天机器人来询问有关祈祷程序的问题。当一个穆斯林发现祈祷的程序与其他穆斯林不同时,他有时会对祈祷的程序产生疑问。在这种情况下,使用聊天机器人是为了提供一个解释。这个聊天机器人是使用深度学习模型开发的,特别是LSTM,它与RASA框架集成在一起。LSTM(长短期内存)可以有效地节省一些需要的内存,同时也可以删除一些不必要的内存。聊天机器人的实现选择了Telegram平台。结果表明,与DIET Classifier和RASA结合的聊天机器人电报祈祷咨询能够识别问题并以文本和图像的形式提供答案,准确率为96%。
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Sistem Tanya Jawab Konsultasi Shalat Berbasis RASA Natural Language Understanding (NLU)
A chatbot is an intelligent system that provides users with direct interaction with machines via written media. This paper describes how to use chatbots to ask questions about prayer procedures. A Muslim sometimes has questions about the procedure for praying when he finds a difference between the procedures performed by other Muslims. In this case, the use of chatbots is to provide an explanation. This chatbot was developed using a deep learning model, especially LSTM, that was integrated with the RASA framework. LSTM (Long Short Term Memory) can efficiently save some of the needed memory while also removing some of the unnecessary memory. The Telegram platform was chosen for the chatbot's implementation. The results showed that the chatbot telegram prayer consultation with DIET Classifier and RASA was able to recognize questions and provide answers in the form of text and images, with 96 percent accuracy.
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