TY - GEN
T1 - Dimensions of argumentation in social media
AU - Schneider, Jodi
AU - Davis, Brian
AU - Wyner, Adam
PY - 2012
Y1 - 2012
N2 - Mining social media for opinions is important to governments and businesses. Current approaches focus on sentiment and opinion detection. Yet, people also justify their views, giving arguments. Understanding arguments in social media would yield richer knowledge about the views of individuals and collectives. Extracting arguments from social media is difficult. Messages appear to lack indicators for argument, document structure, or inter-document relationships. In social media, lexical variety, alternative spellings, multiple languages, and alternative punctuation are common. Social media also encompasses numerous genres. These aspects can confound the extraction of well-formed knowledge bases of argument. We chart out the various aspects in order to isolate them for further analysis and processing.
AB - Mining social media for opinions is important to governments and businesses. Current approaches focus on sentiment and opinion detection. Yet, people also justify their views, giving arguments. Understanding arguments in social media would yield richer knowledge about the views of individuals and collectives. Extracting arguments from social media is difficult. Messages appear to lack indicators for argument, document structure, or inter-document relationships. In social media, lexical variety, alternative spellings, multiple languages, and alternative punctuation are common. Social media also encompasses numerous genres. These aspects can confound the extraction of well-formed knowledge bases of argument. We chart out the various aspects in order to isolate them for further analysis and processing.
UR - http://www.scopus.com/inward/record.url?scp=84867683823&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-33876-2_4
DO - 10.1007/978-3-642-33876-2_4
M3 - Conference contribution
AN - SCOPUS:84867683823
SN - 9783642338755
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 21
EP - 25
BT - Knowledge Engineering and Knowledge Management - 18th International Conference, EKAW 2012, Proceedings
T2 - 18th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2012
Y2 - 8 October 2012 through 12 October 2012
ER -