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Volumn , Issue , 2011, Pages 107-112

Social-based traffic information extraction and classification

Author keywords

classification; real time; syntactic analysis; traffic information; twitter

Indexed keywords

FACEBOOK; REAL-TIME; SOCIAL NETWORKS; SOCIAL-BASED; SYNTACTIC ANALYSIS; TRAFFIC INFORMATION; TWITTER;

EID: 81055137193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITST.2011.6060036     Document Type: Conference Paper
Times cited : (115)

References (8)
  • 1
    • 81055155914 scopus 로고    scopus 로고
    • Twitter User Statistics REVEALED, http://www.huffingtonpost.com/2010/04/ 14/twitter-user-statistics-r-n-537992.html
  • 2
    • 81055156695 scopus 로고    scopus 로고
    • Thailand Trending (Thailand twitter trending), http://www.lab.in. th/thaitrend
  • 5
    • 0003425660 scopus 로고    scopus 로고
    • Text categorization with support vector machine: Learning with many relevant features
    • Computer Science Departnebt. University of Dortmund
    • Thorsten Joachims, Text categorization with support vector machine: Learning with many relevant features. LS-8 Report 23, Computer Science Departnebt. University of Dortmund, 1997.
    • (1997) LS-8 Report 23
    • Joachims, T.1
  • 6
    • 81055155908 scopus 로고    scopus 로고
    • Lexto, Thai Lexeme Tokenizer by Sansarn, http://www.sansarn. com/lexto
  • 7
    • 81055156696 scopus 로고    scopus 로고
    • Sansan, Search engine with Thai lexeme tokenization by NECTEC, http://www.sansarn. com
  • 8
    • 81055140183 scopus 로고    scopus 로고
    • Paul Klint, Syntax analysis, 2007. http://homepages.cwi.nl/~daybuild/ dailybooks/learning-about/syntax-analysis/syntaxanalysis.htm
    • (2007) Syntax Analysis
    • Klint, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.