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  5. TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle
 
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TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle

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Author(s)
Qureshi, M. Atif 
Arjumand, Younus 
Greene, Derek 
Uri
http://hdl.handle.net/10197/8367
Date Issued
23 September 2016
Date Available
20T13:17:54Z February 2017
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Series
Lecture Notes in Computer Science
Copyright (Published Version)
2016 Springer
Keywords
  • Machine learning

  • Statistics

DOI
10.1007/978-3-319-46131-1_16
Language
English
Status of Item
Peer reviewed
Part of
Proceedings, Part III: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016 (Volume 9853)
Description
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD ’16), Riva del Garda, 19-23 September 2016
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Insight Research Collection
Scopus© citations
0
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Jan 27, 2023
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