A Method for Automatically Constructing Event Logic Graph from Online News Texts

This paper proposes a framework to address the challenge of extracting critical information from the substantial growth of online news in the Internet age by automatically constructing event logic graph from unstructured news reports. The proposed framework consists of three layers. The data support...

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Bibliographic Details
Published in2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI) pp. 220 - 225
Main Authors Liang, Dongcheng, Ke, Zunwang, Slamu, Wushour
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.05.2023
Subjects
Crawlers
Event logic graph
information extraction
Internet
Knowledge representation
Media
Natural language processing
online news
Timing
Visualization
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Summary:This paper proposes a framework to address the challenge of extracting critical information from the substantial growth of online news in the Internet age by automatically constructing event logic graph from unstructured news reports. The proposed framework consists of three layers. The data support layer employs crawler technology to gather news from different media platforms and store them in a MySQL database. The data mining layer employs natural language processing technology to analyze the news data and identify events and event relationships, which is utilized to create an event-centered news event logic graph by extracting information. In the visual interaction layer, the Neo4j graph database is utilized to showcase the examples for the news event logic graph. The event logic graph created through online news can enhance users' efficiency in obtaining news event information and aid them in making more comprehensive and scientifically-informed analytical decisions.
DOI:10.1109/ICETCI57876.2023.10176747