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Volumn , Issue , 2012, Pages 5-11

Traffic observatory: A system to detect and locate traffic events and conditions using Twitter

Author keywords

geocoding; traffic; Twitter

Indexed keywords

'CURRENT; DEGREE OF CORRELATIONS; GEO CODING; POPULAR PLATFORM; REAL-WORLD; TRAFFIC; TRAFFIC CONDITIONS; TRAFFIC EVENT; TWITTER; USER-GENERATED;

EID: 84875194270     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2442796.2442800     Document Type: Conference Paper
Times cited : (48)

References (12)
  • 1
    • 84883056920 scopus 로고    scopus 로고
    • Geotagging aided by topic detection with wikipedia
    • S. Geertman, W. Reinhardt, F. Toppen, W. Cartwright, G. Gartner, L. Meng, and M. P. Peterson, editors, Advancing Geoinformation Science for a Changing World, Springer Berlin Heidelberg
    • R. O. Alencar and C. A. Davis Jr. Geotagging aided by topic detection with wikipedia. In S. Geertman, W. Reinhardt, F. Toppen, W. Cartwright, G. Gartner, L. Meng, and M. P. Peterson, editors, Advancing Geoinformation Science for a Changing World, volume 1 of Lecture Notes in Geoinformation and Cartography, pages 461-477. Springer Berlin Heidelberg, 2011.
    • (2011) Lecture Notes in Geoinformation and Cartography , vol.1 , pp. 461-477
    • Alencar, R.O.1    Davis Jr., C.A.2
  • 6
    • 82155178489 scopus 로고    scopus 로고
    • Inferring the location of twitter messages based on user relationships
    • C. A. Davis Jr., G. L. Pappa, D. R. R. de Oliveira, and F. L. de Arcanjo. Inferring the location of twitter messages based on user relationships. T. GIS, 15(6):735-751, 2011.
    • (2011) T. GIS , vol.15 , Issue.6 , pp. 735-751
    • Davis Jr., C.A.1    Pappa, G.L.2    De Oliveira, D.R.R.3    De Arcanjo, F.L.4
  • 8
    • 34548136250 scopus 로고    scopus 로고
    • From text to geographic coordinates: The current state of geocoding
    • D. Goldberg, J. Wilson, and C. Knoblock. From text to geographic coordinates: the current state of geocoding. URISA Journal, 19(1):33-47, 2007.
    • (2007) URISA Journal , vol.19 , Issue.1 , pp. 33-47
    • Goldberg, D.1    Wilson, J.2    Knoblock, C.3
  • 11
    • 84890668120 scopus 로고    scopus 로고
    • Predicting elections with twitter: What 140 characters reveal about political sentiment
    • A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. In ICWSM'10, pages 178-185, 2010.
    • (2010) ICWSM'10 , pp. 178-185
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3    Welpe, I.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.