OLAC Record oai:lindat.mff.cuni.cz:11372/LRT-322

Metadata
Title:		SenTube
Bibliographic Citation:		http://hdl.handle.net/11372/LRT-322
Date (W3CDTF):		2014-07-30T21:17:53Z
Date Available:		2014-07-30T21:17:53Z
Description:		Sentiment analysis of Youtube videos with joint models of text and speech
Identifier (URI):		http://hdl.handle.net/11372/LRT-322
Language:		English
		Italian
Language (ISO639):		eng
		ita
Publisher:		Machine Learning and NLP group at Trento
Subject:		sentiment analysis
Type:		corpus
Type (DCMI):		Text
Type (OLAC):		primary_text
OLAC Info
Archive:		LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:		http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:lindat.mff.cuni.cz:11372/LRT-322
DateStamp:		2021-06-29
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		n.a. 2014. Machine Learning and NLP group at Trento.
Terms:		area_Europe country_GB country_IT dcmi_Text iso639_eng iso639_ita olac_primary_text