Feature Representation and Organization Method for Public Opinion Big Data Based on Association Analysis

Author:

Wang Pengju,Xue Huifeng,Zhang Feng

Abstract

Abstract In order to improve the data mining level of public opinion big data, by analysing the relationship among semantic web, ontology and RDF (Resource Description Framework), the structure and organization method of public opinion big data association data are separated. Based on the analysis of network public opinion big data organization technology, and then the RDF structure definition of network public opinion knowledge map is given, and the construction method of RDF association analysis map of network public opinion knowledge is realized. Experimental research shows that the proposed method can provide more accurate correlation analysis of public opinion big data, which can effectively realize the analysis and management of public opinion hot events, and provide decision support for the management of network public opinion.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. A review on the management of water resources information based on big data and cloud computing;Kim;Journal of Wetlands Research,2016

2. Big data cleaning algorithms in cloud computing;Zhang;International Journal of Online Engineering,2013

3. A multi objective optimization algorithm for recommender system based on PSO;Zhao-Xing;Computer Modelling and New Technologies,2014

4. A multimodal fusion based framework to reinforce IDS for securing Big Data environment using Spark;Donkal;Journal of Information Security and Applications,2018

5. Multi-source Big data Dynamic Compressive Sensing and Optimization Method for Water Resources Based on IoT;Feng;Sustainable Computing: Informatics and Systems,2018

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