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TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle
Author(s)
Date Issued
2016-09-23
Date Available
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Series
Lecture Notes in Computer Science
Copyright (Published Version)
2016 Springer
Subjects
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
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Name
TwitterCracy exploratory Monitoring of Twitter.pdf
Size
238.48 KB
Format
Adobe PDF
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