About: Erik Cambria

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher ORCID ID = 0000-0002-3030-1280

Attributes	Values
rdf:type	Item
field of work	wds:Q57691836-5215D83E-8E3E-4FE0-941A-1F3C485A0CEF wds:Q57691836-72A1222D-9288-41F1-BEE2-90035826F196
field of work	artificial intelligence natural language processing
description	wetenschapper (nl) дослідник (uk) researcher ORCID ID = 0000-0002-3030-1280 (en) Počítačový vědec, působící na Nanyang Technological University v Singapuru, zakladatel společnosti SenticNet. Zabývá se zpracováním přirozeného jazyka, umělou inteligencí, analýzou sentimentu. Publikace v oboru. (cs)
rdfs:label	Erik Cambria (cs) Erik Cambria (de) Erik Cambria (en) Erik Cambria (es) Erik Cambria (it) Erik Cambria (nl) Erik Cambria (sq) Erik Cambria (ast)
skos:prefLabel	Erik Cambria (cs) Erik Cambria (de) Erik Cambria (en) Erik Cambria (es) Erik Cambria (it) Erik Cambria (nl) Erik Cambria (sq) Erik Cambria (ast)
name	Erik Cambria (cs) Erik Cambria (de) Erik Cambria (en) Erik Cambria (es) Erik Cambria (it) Erik Cambria (nl) Erik Cambria (sq) Erik Cambria (ast)
Scopus author ID	wds:Q57691836-1EC9F11D-49B1-4E64-91B8-B30EE6DBE60E wds:Q57691836-6F20DBC3-E2AD-43DF-9DEF-458D3C2395D3
Scopus author ID	56140547500
given name	wds:Q57691836-7db8d35d-4e9e-a608-0a4e-5a749b46bb74
given name	Erik
instance of	wds:Q57691836-29B28771-74E1-411C-85C7-CEC49D9FF885
NL CR AUT ID	wds:Q57691836-A1E009DE-BEC0-4B12-AD1C-4D559D49A35F
instance of	Homo sapiens
NL CR AUT ID	ntk20211108765
Nationale Thesaurus voor Auteursnamen ID	wds:Q57691836-cc77396d-0c83-419f-8b02-f0e4b542c34d
occupation	wds:Q57691836-33397584-8fb8-4d71-a230-794c999ad0a6 wds:Q57691836-5bbb863a-d876-4cc4-8c21-daf3a16560df
employer	wds:Q57691836-97b5a800-4df1-a213-0046-8e4cbe25f592
languages spoken, written or signed	wds:Q57691836-188EAA34-7679-4630-88C9-8DD2941B0554
sex or gender	wds:Q57691836-91C46355-B06C-4380-9806-7EF495B4A595
ISNI	wds:Q57691836-BF5F7C36-147C-41D7-9281-61CF497C0111
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GND ID	wds:Q57691836-53213CC4-0F1D-40ED-AA5D-6454C2B29897
Library of Congress authority ID	wds:Q57691836-07A00CDE-1FF6-4096-8A53-46E971BB4352
DBLP author ID	wds:Q57691836-9D88CBA1-CC86-4685-8D0D-A96F3472671A
IdRef ID	wds:Q57691836-c34a7fdb-a819-4259-9ec1-4f63e448e1cd
family name	wds:Q57691836-02EF664E-207D-4026-B27D-C912480FE547
WorldCat Identities ID (superseded)	wds:Q57691836-ABBD1902-129B-42F9-909A-CE90CCFF3DEC
National Library of Israel J9U ID	wds:Q57691836-B7D65CBD-75E7-475F-A056-5AED32B6BF61
Nationale Thesaurus voor Auteursnamen ID	http://data.bibliotheken.nl/id/thes/p34589183X
VIAF ID	http://viaf.org/viaf/283846500
GND ID	https://d-nb.info/gnd/1171827946
Library of Congress authority ID	http://id.loc.gov/authorities/names/no2012155591
DBLP author ID	https://dblp.org/pid/80/7421.rdf
IdRef ID	http://www.idref.fr/185589383/id
Nationale Thesaurus voor Auteursnamen ID	34589183X
occupation	university teacher computer scientist
employer	Nanyang Technological University
languages spoken, written or signed	English
sex or gender	male
ISNI	0000000390257960
VIAF ID	283846500
GND ID	1171827946
Library of Congress authority ID	no2012155591
DBLP author ID	80/7421
IdRef ID	185589383
family name	Cambria
WorldCat Identities ID (superseded)	lccn-no2012155591
National Library of Israel J9U ID	987007337802905171
ORCID iD	wds:Q57691836-B7BD8516-D367-4320-85D6-2D15F58199C3
Dimensions author ID	wds:Q57691836-C1A34370-1A09-4CEA-8D66-A29CB270FB9B
ORCID iD	https://orcid.org/0000-0002-3030-1280
ORCID iD	0000-0002-3030-1280
Dimensions author ID	015623407617.18
IRIS UNIGE author ID	wds:Q57691836-D0059856-B77D-4C56-8926-875653C884CE
IRIS UNIGE author ID	38247
ResearcherID	wds:Q57691836-599609F8-C553-4C9D-894D-7F22959498CA
ResearcherID	C-2103-2013
is owl:sameAs of	Erik Cambria
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57691836
is author of	Guest Editorial: Big Social Data Analysis Computational Intelligence for Big Social Data Analysis [Guest Editorial] Enhancing business intelligence by means of suggestive reviews. Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns Learning word dependencies in text by means of a deep recurrent belief network Statistical Learning Theory and ELM for Big Social Data Analysis New Trends of Learning in Computational Intelligence [Guest Editorial] Sentic Maxine: Multimodal Affective Fusion and Emotional Paths Sentic Avatar: Multimodal Affective Conversational Agent with Common Sense New Avenues in Opinion Mining and Sentiment Analysis EmoSenticSpace: A novel framework for affective common-sense reasoning

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