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Volumn , Issue , 2015, Pages 483-490

Alexandria: Extensible Framework for Rapid Exploration of Social Media

Author keywords

analytics exploration; analytics process management; social media analytics; text analytics

Indexed keywords

ARCHITECTURE; COMPUTER ARCHITECTURE; SOCIAL NETWORKING (ONLINE);

EID: 84959543006     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigDataCongress.2015.77     Document Type: Conference Paper
Times cited : (4)

References (25)
  • 3
    • 0142166851 scopus 로고    scopus 로고
    • A neural probabilistic language model
    • Y. Bengio et al. A neural probabilistic language model. J. of Machine Learning Research, 3:1137-1155, 2003.
    • (2003) J. of Machine Learning Research , vol.3 , pp. 1137-1155
    • Bengio, Y.1
  • 4
    • 79951784092 scopus 로고    scopus 로고
    • Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery
    • E. Bertini and D. Lalanne. Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery. SIGKDD Explorations, 11(2):9-18, 2009.
    • (2009) SIGKDD Explorations , vol.11 , Issue.2 , pp. 9-18
    • Bertini, E.1    Lalanne, D.2
  • 5
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of Twitter: Content analysis of tweets during the 2009
    • C. Chew and G. Eysenbach. Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak. PLOS ONE, 5(11), 2010. e14118. doi:10.1371/journal.pone.0014118.
    • (2010) H1N1 Outbreak PLOS ONE , vol.5 , Issue.11 , pp. e14118
    • Chew, C.1    Eysenbach, G.2
  • 6
  • 7
    • 0029727454 scopus 로고    scopus 로고
    • Learning task-dependent distributed structure-representations by backpropagation through structure
    • C. Goller and A. Kuchler. Learning task-dependent distributed structure-representations by backpropagation through structure. IEEE International Conference on Neural Networks, pages 347-352, 1996.
    • (1996) IEEE International Conference on Neural Networks , pp. 347-352
    • Goller, C.1    Kuchler, A.2
  • 9
    • 84959556544 scopus 로고    scopus 로고
    • HelpSocial Development Team
    • HelpSocial Development Team. HelpSocial. https://www.helpsocial.com/.
    • HelpSocial
  • 10
    • 84893300246 scopus 로고    scopus 로고
    • Constructing consumer profiles from social media data
    • M. Hernandez et al. Constructing consumer profiles from social media data. In Proc. IEEE Big Data Conf., pages 710-716, 2013.
    • (2013) Proc IEEE Big Data Conf , pp. 710-716
    • Hernandez, M.1
  • 12
    • 84900406216 scopus 로고    scopus 로고
    • Upvoting Hurricane Sandy: Eventbased new production processes on a social news site
    • A. Leavitt and J. Clark. Upvoting Hurricane Sandy: Eventbased new production processes on a social news site. In Proc. ACM Intl. Conf. Computer Human Interaction (CHI), pages 1495-1504, 2014.
    • (2014) Proc ACM Intl. Conf. Computer Human Interaction (CHI , pp. 1495-1504
    • Leavitt, A.1    Clark, J.2
  • 15
    • 85083951332 scopus 로고    scopus 로고
    • Efficient estimation of word representations in vector space
    • abs/1301.3781
    • T. Mikolov, K. Chen, G. Corrado, and J. Dean. Efficient estimation of word representations in vector space. CoRR, abs/1301.3781, 2013.
    • (2013) CoRR
    • Mikolov, T.1    Chen, K.2    Corrado, G.3    Dean, J.4
  • 18
    • 84961289992 scopus 로고    scopus 로고
    • Glove: Global vectors for word representation
    • A. Moschitti, B. Pang, and W. Daelemans, editors, EMNLP 2014, Doha, Qatar. ACL
    • J. Pennington, R. Socher, and C. D. Manning. Glove: Global vectors for word representation. In A. Moschitti, B. Pang, and W. Daelemans, editors, Proc. 2014 Conf. Empirical Methods in Natural Language Processing, EMNLP 2014, Doha, Qatar., pages 1532-1543. ACL, 2014.
    • (2014) Proc. 2014 Conf. Empirical Methods in Natural Language Processing , pp. 1532-1543
    • Pennington, J.1    Socher, R.2    Manning, C.D.3
  • 21
    • 7444228338 scopus 로고    scopus 로고
    • The CRISP-DM model: The new blueprint for data mining
    • C. Shearer. The CRISP-DM model: The new blueprint for data mining. J. Data Warehousing, 5(4):13-22, 2000.
    • (2000) J. Data Warehousing , vol.5 , Issue.4 , pp. 13-22
    • Shearer, C.1
  • 22
    • 84959570315 scopus 로고    scopus 로고
    • IBM Social Media Analytics
    • SMA Development Team. IBM Social Media Analytics. http://www-01.ibm.com/software/analytics/solutions/customer-Analytics/social-media-Analytics/.
    • SMA Development Team
  • 24
    • 84959476582 scopus 로고    scopus 로고
    • SOLR Development Team. SOLR Home Page
    • SOLR Development Team. SOLR Home Page. http://lucene.apache.org/solr/.
  • 25
    • 84959536574 scopus 로고    scopus 로고
    • Topsy Development Team Topsy
    • Topsy Development Team. Topsy. http://topsy.com.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.