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A novel text classification method for emergency event detection on social media

  • Beihang University

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

Abstract

Currently event detection based on social media becomes a more and more active research field. Text classification is a challenging task in event detection on social media because a large number of irrelevant texts are provided at the same time of collecting relevant texts. Most of existing text classification methods are based on the supervised machine learning which requires labeled and balanced training dataset. However, it is very difficult or even impossible for emergency event detection to collect balanced and labeled training data. In this paper, we propose a novel text classification method based on one-class Support Vector Machine (SVM) for emergency event detection, which takes only irrelevant texts as training data to detect the relevant texts to the emergency event. More importantly, we propose to extract variable length n-gram features for representing texts that takes the sequential relations and semantic relations among words into account. Finally we conduct two set of experiments to evaluate our method and experimental results show our method can perform text classification for detecting emergency event on social media with a comparable accuracy.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
EditorsFrederic Loulergue, Guojun Wang, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Peng Li, Manuel Roveri, Qi Han, Lei Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1106-1111
Number of pages6
ISBN (Electronic)9781538693803
DOIs
StatePublished - 4 Dec 2018
Event4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 - Guangzhou, China
Duration: 7 Oct 201811 Oct 2018

Publication series

NameProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

Conference

Conference4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Country/TerritoryChina
CityGuangzhou
Period7/10/1811/10/18

Keywords

  • Event detection
  • One class SVM
  • Social media
  • Text classification
  • Variable n gram

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