This HTML5 document contains 116 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
n13https://dblp.org/rec/conf/emnlp/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
n12http://dx.doi.org/10.3115/
n9http://www.aclweb.org/anthology/
phttp://www.wikidata.org/prop/
wikibasehttp://wikiba.se/ontology#
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q51710633
rdf:type
wikibase:Item
schema:description
articol științific article scientifique 2002年学术文章 مقالة علمية نشرت في يوليو 2002 naučni članak জুলাই ২০০২-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ videnskabelig artikel บทความทางวิทยาศาสตร์ vědecký článek bài báo khoa học artigo científico 2002年學術文章 teaduslik artikkel vetenskaplig artikel мақолаи илмӣ 2002年学术文章 2002年学术文章 artículo científico publicado en 2002 wissenschaftlicher Artikel מאמר מדעי scientific article published in July 2002 artikulong pang-agham wetenschappelijk artikel наукова стаття, опублікована в липні 2002 artículu científicu научни чланак 2002年学术文章 2002年學術文章 tieteellinen artikkeli научная статья artigo científico 2002年學術文章 vitenskapelig artikkel scienca artikolo 2002年學術文章 articolo scientifico tudományos cikk 2002 nî lūn-bûn 2002年の論文 scientific article published in July 2002 2002年学术文章 2002년 논문 научни чланак scientific article published in July 2002 artikull shkencor article científic article scientific επιστημονικό άρθρο 2002年学术文章 vedecký článok vitskapeleg artikkel bilimsel makale სამეცნიერო სტატია artikel ilmiah 2002年學術文章 научна статия artykuł naukowy artigo científico
p:P577
wds:Q51710633-5d2cf416-424b-dd3b-636d-c79eb83cae7f
wdt:P577
2002-07-01T00:00:00Z
p:P407
wds:Q51710633-56f7be3f-434f-6ff6-a33c-cfe0b7070e46
wdt:P407
wd:Q1860
p:P2093
wds:Q51710633-c9c7878f-45f9-043f-909d-c6e60ddb17f0
wdt:P2093
Shivakumar Vaithyanathan
rdfs:label
Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques
skos:prefLabel
Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques
schema:name
Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques Thumbs up? Sentiment Classification using Machine Learning Techniques
p:P50
wds:Q51710633-82bdd5bd-4c60-5fa5-6651-2edbf540ef3f wds:Q51710633-09e872c1-4808-2cc9-3e77-29053d567895
wdt:P50
wd:Q36972358 wd:Q35530984
p:P1476
wds:Q51710633-5aaac42a-4bdb-4bee-ad41-e2ea3f5da6ca
wdt:P1476
Thumbs up? Sentiment Classification using Machine Learning Techniques
p:P304
wds:Q51710633-94bf97a0-47ce-b948-b8ca-e4929dca4bbf
wdt:P304
79-86
p:P31
wds:Q51710633-6744d479-433d-00cb-a430-16e29d246068
wdt:P31
wd:Q13442814
p:P921
wds:Q51710633-5a050bd4-48ec-fa3f-bdd7-036cb0c8e602 wds:Q51710633-cab6571e-485a-3a08-a0d1-75459481dd3e
wdt:P921
wd:Q2271421 wd:Q2539
p:P8978
wds:Q51710633-A513901C-917C-4F11-BD43-3EA9F86ACE64
wdtn:P8978
n13:PangLV02
wdt:P8978
conf/emnlp/PangLV02
p:P1433
wds:Q51710633-476f003a-414b-1123-b92c-0a414de65ecb
p:P953
wds:Q51710633-8fee70db-4d87-e2f3-4d54-29c29cacb1ff
wdt:P1433
wd:Q51711304
wdt:P953
n9:W02-1011
p:P1104
wds:Q51710633-767d83ab-4fa7-5f30-5139-4fa144aa9f1e
wdt:P1104
8
p:P356
wds:Q51710633-ef05b049-4700-37e2-3884-dd38d07290a4
wdtn:P356
n12:1118693.1118704
wdt:P356
10.3115/1118693.1118704
skos:altLabel
humbs up?: sentiment classification using machine learning techniques
p:P8608
wds:Q51710633-0DBAD0FF-DD76-4CEE-A8D6-CA77E8571C80
wdt:P8608
release_scxxk5zpirb5rpgtzc7upivghy
p:P5875
wds:Q51710633-3BEDD2E3-AC10-4749-96D8-CC727908A5F0
wdt:P5875
2518534
p:P818
wds:Q51710633-dd3cd8d4-4915-a060-e932-ad92155d79a5
wdt:P818
cs/0205070
p:P10897
wds:Q51710633-81f45062-eeb6-48f7-99d0-a7ed808b14ec
wdt:P10897
R193289
p:P4510
wds:Q51710633-B7E07C23-8695-4C58-BFCC-46761AD0500A
wdt:P4510
wd:Q2539
p:P3332
wds:Q51710633-763113cc-408b-5318-29cc-450bf19df029
wdt:P3332
1118704