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Volumn 2, Issue , 2015, Pages 630-636

Twitter user geolocation using a unified text and network prediction model

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SOCIAL NETWORKING (ONLINE); LINGUISTICS; TRACKING (POSITION);

EID: 84944075416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-2104     Document Type: Conference Paper
Times cited : (70)

References (28)
  • 13
    • 84896967880 scopus 로고    scopus 로고
    • That's what friends are for: Inferring location in online social media platforms based on social relationships
    • Boston, USA
    • David Jurgens. 2013. That's what friends are for: Inferring location in online social media platforms based on social relationships. In Proceedings of the 7th International Conference on Weblogs and Social Media (ICWSM 2013), pages 273-282, Boston, USA.
    • (2013) Proceedings of the 7th International Conference on Weblogs and Social Media (ICWSM 2013) , pp. 273-282
    • Jurgens, D.1
  • 14
    • 84901617244 scopus 로고    scopus 로고
    • Public microblogging on climate change: One year of Twitter worldwide
    • Andrei P Kirilenko and Svetlana O Stepchenkova. 2014. Public microblogging on climate change: One year of Twitter worldwide. Global Environmental Change, 26:171-182.
    • (2014) Global Environmental Change , vol.26 , pp. 171-182
    • Kirilenko, A.P.1    Stepchenkova, S.O.2
  • 15
    • 84867571466 scopus 로고    scopus 로고
    • Detecting geographical references in the form of place names and associated spatial natural language
    • Jochen L Leidner and Michael D Lieberman. 2011. Detecting geographical references in the form of place names and associated spatial natural language. SIGSPATIAL Special, 3(2):5-11.
    • (2011) SIGSPATIAL Special , vol.3 , Issue.2 , pp. 5-11
    • Leidner, J.L.1    Lieberman, M.D.2
  • 18
    • 84875371748 scopus 로고    scopus 로고
    • More than words: Social networks text mining for consumer brand sentiments
    • Mohamed M Mostafa. 2013. More than words: Social networks text mining for consumer brand sentiments. Expert Systems with Applications, 40(10):4241-4251.
    • (2013) Expert Systems with Applications , vol.40 , Issue.10 , pp. 4241-4251
    • Mostafa, M.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.