Multilingual Twitter Sentiment Classification: The Role of Human Annotators
about
Twitter sentiment around the Earnings Announcement eventsCohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities.Debunking in a world of tribesStance and influence of Twitter users regarding the Brexit referendum.How to evaluate sentiment classifiers for Twitter time-ordered data?Profiling the EU lobby organizations in Banking and FinanceImpact investing market on Twitter: influential users and communities
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P2860
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
description
2016 nî lūn-bûn
@nan
2016 թուականին հրատարակուած գիտական յօդուած
@hyw
2016 թվականին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@ast
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@en
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@nl
type
label
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@ast
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@en
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@nl
prefLabel
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@ast
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@en
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@nl
P2860
P3181
P1433
P1476
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
@en
P2093
Jasmina Smailović
Miha Grčar
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0155036
P407
P50
P577
2016-01-01T00:00:00Z
P698
P818
1602.07563