About: isa:379290021   Sponge Permalink

An Entity of Type : prov:Entity, within Data Space : webisadb.webdatacommons.org associated with source dataset(s)

AttributesValues
rdf:type
prov:value
  • Pak and Paroubek5 used a corpus made of text messages from the Twitter accounts of 44 popular newspapers and magazines, such as New York Times, Washington Post, etc, as training material for a Bayesian classifier to build an objectivity detector for Twitter posts.Challenge RequirementsThe second track of the i2b2 2011/VA Challenge consists in identifying the opinion expressed in suicide notes by t
prov:wasQuotedFrom
is prov:wasDerivedFrom of
Alternative Linked Data Views: ODE     Raw Data in: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3217, on Linux (x86_64-pc-linux-gnu), Standard Edition
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2012 OpenLink Software