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Št. zadetkov: 11
Raziskovalni podatki
Oznake: sentiment classification;Twitter;inter-annotator agreement;annotator self-agreement;multilingual
The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate Twitter sentiment classifiers, to compute annotator agreement, or to study the d ...
Leto: 2016 Vir: CLARIN.si
Objavljeni znanstveni prispevek na konferenci
Oznake:
Understanding financial news with multi-layer network analysis
Leto: 2016 Vir: Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
Multilingual twitter sentiment classification : the role of human annotators
Leto: 2016 Vir: Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
Sentiment leaning of influential communities in social networks
Leto: 2015 Vir: Institut Jožef Stefan (IJS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
A comparative study of performance estimation methods for time series forecasting
Leto: 2017 Vir: Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
How to evaluate sentiment classifiers for Twitter time-ordered data?
Leto: 2018 Vir: Institut Jožef Stefan (IJS)
Izvirni znanstveni članek
Oznake:
Sentiment of Emojis
Leto: 2015 Vir: Institut Jožef Stefan (IJS)
Objavljeni znanstveni prispevek na konferenci
Oznake:
Monitoring the Twitter sentiment during the Bulgarian elections
Leto: 2015 Vir: Institut Jožef Stefan (IJS)
Raziskovalni podatki
Oznake: sentiment classification;emojis;Unicode;multilingual
A lexicon of 751 emoji characters with automatically assigned sentiment. The sentiment is computed from 70,000 tweets, labeled by 83 human annotators in 13 European languages. The process and analysis of emoji sentiment ranking is described in the paper: Kralj Novak P, Smailović J, Sluban B, Mo ...
Leto: 2015 Vir: CLARIN.si
Izvirni znanstveni članek
Oznake:
Twitter-based analysis of the dynamics of collective attention to political parties
Leto: 2015 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 11
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