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

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Title: TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle
Authors: Qureshi, M. Atif
Arjumand, Younus
Greene, Derek
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Date: 23-Sep-2016
Online since: 2017-02-20T13:17:54Z
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science
Copyright (published version): 2016 Springer
Keywords: Machine learningStatistics
DOI: 10.1007/978-3-319-46131-1_16
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings, Part III: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2016 (Volume 9853)
Conference Details: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD ’16), Riva del Garda, 19-23 September 2016
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