TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle

M. Atif Qureshi; Arjumand Younus; Derek Greene

doi:10.1007/978-3-319-46131-1_16

TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle

M. Atif Qureshi, Arjumand Younus, Derek Greene

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present TwitterCracy, an exploratory search system that allows users to search and monitor across the Twitter streams of political entities. Its exploratory capabilities stem from the application of lightweight time-series based clustering together with biased PageRank to extract facets from tweets and presenting them in a manner that facilitates exploration.

Original language	English
Title of host publication	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings
Editors	Björn Bringmann, Elisa Fromont, Nikolaj Tatti, Volker Tresp, Pauli Miettinen, Bettina Berendt, Gemma Garriga
Publisher	Springer Verlag
Pages	71-75
Number of pages	5
ISBN (Print)	9783319461304
DOIs	https://doi.org/10.1007/978-3-319-46131-1_16
Publication status	Published - 2016
Externally published	Yes
Event	15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016 - Riva del Garda, Italy Duration: 19 Sep 2016 → 23 Sep 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9853 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016
Country/Territory	Italy
City	Riva del Garda
Period	19/09/16 → 23/09/16

Access to Document

10.1007/978-3-319-46131-1_16

Cite this

Atif Qureshi, M., Younus, A., & Greene, D. (2016). TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle. In B. Bringmann, E. Fromont, N. Tatti, V. Tresp, P. Miettinen, B. Berendt, & G. Garriga (Eds.), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings (pp. 71-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9853 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46131-1_16

Atif Qureshi, M. ; Younus, Arjumand ; Greene, Derek. / TwitterCracy : Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. editor / Björn Bringmann ; Elisa Fromont ; Nikolaj Tatti ; Volker Tresp ; Pauli Miettinen ; Bettina Berendt ; Gemma Garriga. Springer Verlag, 2016. pp. 71-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle",

abstract = "We present TwitterCracy, an exploratory search system that allows users to search and monitor across the Twitter streams of political entities. Its exploratory capabilities stem from the application of lightweight time-series based clustering together with biased PageRank to extract facets from tweets and presenting them in a manner that facilitates exploration.",

author = "\{Atif Qureshi\}, M. and Arjumand Younus and Derek Greene",

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editor = "Bj{\"o}rn Bringmann and Elisa Fromont and Nikolaj Tatti and Volker Tresp and Pauli Miettinen and Bettina Berendt and Gemma Garriga",

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Atif Qureshi, M, Younus, A & Greene, D 2016, TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle. in B Bringmann, E Fromont, N Tatti, V Tresp, P Miettinen, B Berendt & G Garriga (eds), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9853 LNCS, Springer Verlag, pp. 71-75, 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016, Riva del Garda, Italy, 19/09/16. https://doi.org/10.1007/978-3-319-46131-1_16

TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle. / Atif Qureshi, M.; Younus, Arjumand; Greene, Derek.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. ed. / Björn Bringmann; Elisa Fromont; Nikolaj Tatti; Volker Tresp; Pauli Miettinen; Bettina Berendt; Gemma Garriga. Springer Verlag, 2016. p. 71-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9853 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Publisher Copyright: © Springer International Publishing AG 2016.

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AB - We present TwitterCracy, an exploratory search system that allows users to search and monitor across the Twitter streams of political entities. Its exploratory capabilities stem from the application of lightweight time-series based clustering together with biased PageRank to extract facets from tweets and presenting them in a manner that facilitates exploration.

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Atif Qureshi M, Younus A, Greene D. TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle. In Bringmann B, Fromont E, Tatti N, Tresp V, Miettinen P, Berendt B, Garriga G, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. Springer Verlag. 2016. p. 71-75. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46131-1_16

TwitterCracy: Exploratory monitoring of twitter streams for the 2016 U.S. presidential election cycle

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