TY - GEN
T1 - Event detection from blogs using large scale analysis of metaphorical usage
AU - Goode, Brian J.
AU - Reyes M., Juan Ignacio
AU - Pardo-Yepez, Daniela R.
AU - Canale, Gabriel L.
AU - Tong, Richard M.
AU - Mares, David
AU - Roan, Michael
AU - Ramakrishnan, Naren
N1 - Funding Information:
Supported by the Intelligence Advanced Research Projects Activity (IARPA) via DoI/NBC contract number D12PC000337, the US Government is authorized to reproduce and distribute reprints of this work for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/NBC, or the US Government.
Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Metaphors shape the way people think, decide, and act. We hypothesize that large-scale variations in metaphor usage in blogs can be used as an indicator of societal events. To this end, we use metaphor analysis on a massive scale to study blogs in Latin America over a period ranging from 2000-2015, with most of our data occurring within a nine-year period. Using co-clustering, we form groups of similar behaving metaphors for Argentina, Ecuador, Mexico, and Venezuela and characterize overrepresented as well as underrepresented metaphors for specific locations. We then focus on the metaphor’s potential relation to events by studying the tobacco tax increase in Mexico from 2009-2011. We study correspondences between changes in metaphor frequency with event occurrences, as well as the effect of temporal scaling of data windows on the frequency relationship between metaphors and events.
AB - Metaphors shape the way people think, decide, and act. We hypothesize that large-scale variations in metaphor usage in blogs can be used as an indicator of societal events. To this end, we use metaphor analysis on a massive scale to study blogs in Latin America over a period ranging from 2000-2015, with most of our data occurring within a nine-year period. Using co-clustering, we form groups of similar behaving metaphors for Argentina, Ecuador, Mexico, and Venezuela and characterize overrepresented as well as underrepresented metaphors for specific locations. We then focus on the metaphor’s potential relation to events by studying the tobacco tax increase in Mexico from 2009-2011. We study correspondences between changes in metaphor frequency with event occurrences, as well as the effect of temporal scaling of data windows on the frequency relationship between metaphors and events.
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U2 - 10.1007/978-3-319-39931-7_21
DO - 10.1007/978-3-319-39931-7_21
M3 - Conference contribution
AN - SCOPUS:84990935721
SN - 9783319399300
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 216
EP - 225
BT - Social, Cultural, and Behavioral Modeling - 9th International Conference, SBP-BRiMS 2016, Proceedings
A2 - Osgood, Nathaniel
A2 - Xu, Kevin S.
A2 - Reitter, David
A2 - Lee, Dongwon
PB - Springer Verlag
T2 - 9th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016
Y2 - 28 June 2016 through 1 July 2016
ER -