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Volumn , Issue , 2017, Pages 77-86

Twitter Topic Modeling by Tweet Aggregation

Author keywords

[No Author keywords available]

Indexed keywords

HASHTAGS; LATENT DIRICHLET ALLOCATION; TOPIC MODELING;

EID: 85118154237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (68)

References (19)
  • 4
    • 0025597381 scopus 로고
    • Concepts and Effectiveness of the Cover-coefficient-based Clustering Methodology for Text Databases
    • pages New York, NY, USA, December. Association for Computer Machinery
    • Fazli Can and Esen A. Ozkarahan. 1990. Concepts and Effectiveness of the Cover-coefficient-based Clustering Methodology for Text Databases. In ACM Transitional Database Systems, volume 15, pages 483–517, New York, NY, USA, December. Association for Computer Machinery.
    • (1990) ACM Transitional Database Systems , vol.15 , pp. 483-517
    • Can, Fazli1    Ozkarahan, Esen A.2
  • 6
    • 84907008494 scopus 로고    scopus 로고
    • Calders Toon Cunningham, Pádraig", Floriana Esposito, Eyke Hüllermeier, and Rosa Meo
    • editor pages Springer Berlin Heidelberg, Berlin, Heidelberg
    • Derek Greene, Derek O’Callaghan, editor="Calders Toon Cunningham, Pádraig", Floriana Esposito, Eyke Hüllermeier, and Rosa Meo, 2014. How Many Topics? Stability Analysis for Topic Models, pages 498–513. Springer Berlin Heidelberg, Berlin, Heidelberg.
    • (2014) How Many Topics? Stability Analysis for Topic Models , pp. 498-513
    • Greene, Derek1    O’Callaghan, Derek2
  • 8
    • 84880716210 scopus 로고    scopus 로고
    • Mapping the public agenda with topic modeling: The case of the Russian LiveJournal
    • pages Russia
    • Olessia Koltsova and Sergei Koltcov. 2013. Mapping the public agenda with topic modeling: The case of the Russian LiveJournal. In Policy & Internet, volume 5, pages 207–227, Russia.
    • (2013) Policy & Internet , vol.5 , pp. 207-227
    • Koltsova, Olessia1    Koltcov, Sergei2
  • 9
    • 84876797765 scopus 로고    scopus 로고
    • On-line Trend Analysis with Topic Models:\# Twitter Trends Detection Topic Model Online
    • pages 1519–1534, Mumbai, India
    • Jey Han Lau, Nigel Collier, and Timothy Baldwin. 2012. On-line Trend Analysis with Topic Models:\# Twitter Trends Detection Topic Model Online. In Proceedings of COLING 2012: Technical Papers, pages 1519–1534, pages 1519–1534, Mumbai, India.
    • (2012) Proceedings of COLING 2012: Technical Papers , pp. 1519-1534
    • Lau, Jey Han1    Collier, Nigel2    Baldwin, Timothy3
  • 19
    • 84961367352 scopus 로고    scopus 로고
    • East China Normal University, ECNU: Multilevel Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
    • Shanghai, China. East China Normal University Shanghai
    • Zhihua Zhang, Guoshun Wu, and Man Lan. 2015. East China Normal University, ECNU: Multilevel Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Shanghai, China. East China Normal University Shanghai.
    • (2015) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
    • Zhang, Zhihua1    Wu, Guoshun2    Lan, Man3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.