License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.25
URN: urn:nbn:de:0030-drops-93539
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9353/
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Das, Rahul Deb ; Purves, Ross S.

Towards the Usefulness of User-Generated Content to Understand Traffic Events (Short Paper)

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Abstract

This paper explores the usefulness of Twitter data to detect traffic events and their geographical locations in India through machine learning and NLP. We develop a classification module that can identify tweets relevant for traffic authorities with 0.80 recall accuracy using a Naive Bayes classifier. The proposed model also handles vernacular geographical aspects while retrieving place information from unstructured texts using a multi-layered georeferencing module. This work shows Mumbai has a wide spread use of Twitter for traffic information dissemination with substantial geographical information contributed by the users.

BibTeX - Entry

@InProceedings{das_et_al:LIPIcs:2018:9353,
  author =	{Rahul Deb Das and Ross S. Purves},
  title =	{{Towards the Usefulness of User-Generated Content to Understand Traffic Events (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{25:1--25:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9353},
  URN =		{urn:nbn:de:0030-drops-93539},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.25},
  annote =	{Keywords: Urban mobility, traffic, UGC, tweet, event, GIR, geoparsing}
}

Keywords: Urban mobility, traffic, UGC, tweet, event, GIR, geoparsing
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018

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