Parallel sentimental analysis based on neCTAR research cloud and aurin

Zhenwei Wang, Mingdong Zhu*, Haitao Wang, Wen Chi Yang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Social networks produce huge amount of complicated and heuristic data, from which the emotion of the owner to particular topics are reflected. Thus, the data can be the source of emotional statistics to analyze the comments related to different topics. In the proposed system, we collected political twitters as the experimental data. The system built a comprehensive structure for data harvesting, NLP, feature selection, machine learning, data mining, database, Restful style API and front-end data visualization, which can be circulated on a cloud system called Nectar research cloud. Besides, the system uses a parallel method to processing data chunk on a super computer called Spartan and discusses the choke point of multiple-core when dealing with the parallel computing. As for data model, Australian Urban Research Infrastructure Network (AURIN), for harvesting some training and test data set is also illustrated in this paper.

Original languageEnglish
Title of host publicationRSVT 2019 - 2019 International Conference on Robotics Systems and Vehicle Technology
PublisherAssociation for Computing Machinery
Pages1-6
Number of pages6
ISBN (Electronic)9781450362429
DOIs
Publication statusPublished - 16 Oct 2019
Externally publishedYes
Event2019 International Conference on Robotics Systems and Vehicle Technology, RSVT 2019 - Wuhan, China
Duration: 18 Oct 201920 Oct 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 International Conference on Robotics Systems and Vehicle Technology, RSVT 2019
Country/TerritoryChina
CityWuhan
Period18/10/1920/10/19

Keywords

  • AURIN
  • Nectar Cloud
  • Parallel Processing
  • Sentimental Analysis

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