File:Identifying-Issue-Frames-in-Text-pone.0069185.s002.ogv

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Identifying-Issue-Frames-in-Text-pone.0069185.s002.ogv (Ogg Theora video file, length 20 s, 800 × 600 pixels, 331 kbps, file size: 823 KB)

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Description
English: 2-dimensional visualization of the context vectors for terror , war , and crime . 2-dimensional visualization of the context vectors for terror, war, and crime from 1990. Each frame represents the context vectors over a 12-month period up to (and including) the month given in the caption. Because of memory constraints, context vectors for the 3 terms were aggregated by speaker for each month. This aggregated set of vectors was then used as a whole to compute a 2-dimensional MDS space, and plotted as a yearly running average on a month-by-month basis using the ggplot2 package for R [31].
Date
Source Movie S1 from Sagi E, Diermeier D, Kaufmann S (2013). "Identifying Issue Frames in Text". PLOS ONE. DOI:10.1371/journal.pone.0069185. PMID 23874909. PMC: 3712954.
Author Sagi E, Diermeier D, Kaufmann S
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This file is licensed under the Creative Commons Attribution 2.5 Generic license.
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This file was published in a Public Library of Science journal. Their website states that the content of all PLOS journals is published under the Creative Commons Attribution 4.0 license (or its previous version depending on the publication date), unless indicated otherwise.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current01:16, 30 July 201320 s, 800 × 600 (823 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 480P 107 kbps Completed 11:34, 29 August 2018 7.0 s
VP9 360P 58 kbps Completed 11:34, 29 August 2018 6.0 s
VP9 240P 33 kbps Completed 11:33, 29 August 2018 4.0 s
WebM 360P 290 kbps Completed 01:17, 30 July 2013 7.0 s
QuickTime 144p (MJPEG) 291 kbps Completed 22:47, 4 November 2024 1.0 s

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