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 |