Computational Linguistics Human Language Technologies / BP / Cambridge University Press / MIT Press / Multi Community Response LDA / Supervised LDA / AAAI Press / Baccianella A. E. / Smith N. A. / International Language Resources / Response LDA / /
Country
Jordan / United States / Malta / /
Currency
Rs / / /
Event
Man-Made Disaster / /
IndustryTerm
federal insurance money taxes / opinion mining / rights oil / oil supply / information search / energy military administration / energy policy / oil spill / nuclear united national climate spill gas court union women / energy / social media / text processing / /
NaturalFeature
Gulf coast / /
Organization
European Language Resources Association / Cambridge University / MIT / Rutgers University / Association for the Advancement / North American Association for Computational Linguistics Human Language Technologies Conference / medicare / Artificial Copyright Intelligence / Carnegie Mellon University / Association for Computational Linguistics / Daily Kos Senate / /
Person
Matthew Yglesias / William W. Cohen Doug Pierce / David P. Redlawsk / Michele Bachmann / /
PoliticalEvent
Republican primaries / the primaries / senate race / Presidential Election / presidential elections / house vote / /
Position
president / walker / regression model for that target / house lead party vote scott week dem senator / Senator / Governor / judge / /
Product
SVMLight / /
ProvinceOrState
Wisconsin / Oregon / /
PublishedMedium
Computational Linguistics / The Journal of Politics / the Same News / The Journal of Machine Learning Research / /
Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? Ramnath Balasubramanyan William W. Cohen