In recent years with the popularity of AI chatbot who can understand semantic sense also a popular topic Chatbot is used in various fields it can be seen everywhere Knowledge graph also a hot application both search engine and chatbot are used it in backend However we found that there is no a chatbot on relation between companies For example “Which company does Google work with?” Even knowledge graph with huge amounts of data source cannot answer the question Therefore to solve above problem we propose a method to extract relation between companies in this work After analyze syntax of finance news articles and common company relations using nature language process tool to extract company relation from news articles and construct a knowledge graph with company relation We build a chatbot with intent classification and entity recognition to response the questions with company relation
Date of Award | 2020 |
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Original language | English |
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Supervisor | Wen-Hsiang Lu (Supervisor) |
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A Company Relation Chatbot Based on Financial News Knowledge Graph
允揚, 張. (Author). 2020
Student thesis: Doctoral Thesis