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dc.date.accessioned 2014-07-30T21:17:53Z
dc.date.available 2014-07-30T21:17:53Z
dc.date.issued 2014-07-30
dc.identifier.uri http://hdl.handle.net/11372/LRT-322
dc.description Sentiment analysis of Youtube videos with joint models of text and speech
dc.language.iso eng
dc.language.iso ita
dc.publisher Machine Learning and NLP group at Trento
dc.source.uri http://disi.unitn.it/~haponchyk/ikernels/projects/sentube/
dc.subject sentiment analysis
dc.title SenTube
dc.type corpus
has.files no
additional.metadata Nid:3761 Readily Available (field_resource_available):Yes
branding LRT + Open Submissions
files.size 0
files.count 0


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