23 datasets found

The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca...

This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.

This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.

The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the...

The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum...

System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text

This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is...

This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.

Does president Trump’s use of Twitter affect financial markets? The president frequently mentions companies in his tweets and, as such, tries to gain leverage over their...

This data set contains the IDs of the 1,186,322 tweets used in "Climate Nags: Affect and the Convergence of Global Risk in Online Networks" (published in Continuum, 2023). The...

This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.

This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is...

System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text

The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum...

The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the...

This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.

This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.

The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca...

Guidelines for emotive annotation in plWordNet 4.0. The set consists of four documents dedicated to emotive annotation of four parts of speech - verb, adverb, noun and adjective.

The dataset is a dependency treebank with sentiment annotations.