Implementation of NLP and IR-Based Model on Jateng Gayeng Bot Tourism System (JAGABOTA)

Abstract

Information Retrieval (IR) and Natural Processing Language (NLP) are important components in the development of several applications, one of which is a chat bot. The application of both models has been used for a wide range of cases especially for text data processing and text data automation. On the implementation of a bot application on one of the tourism agencies in Central Java that is being developed, using the NLP architecture and IR-Based Model for the development of a robot application named Jateng Gayeng Bot Tourism (JAGABOTA). This architectural model incorporates the concept of Bag of Words (BoW) for the IR Based Model in the process of collecting text data that will be processed into the question and answer data, then performs the data preprocessing process and performs application of NLP modeling with the Neural Network method so that the results of the question process and answers from the data already created can match and match the combination already given as well as facilitates the chat bot process in finding the combinations between question and response correctly and accurately. From the application of NLP architecture and IR Based model this makes tourism Central Java chat bot can do its job to provide information well and accurately to the user.