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.

A Tree-LSTM-based dependency tree sentiment labeler

A phrase- and sentence-level sentiment analysis tool (deep-learning TreeLSTM, TreeHopper) integrated with opinion finding. Any sentiment dictionary may be used as an input...

PolEmo 1.0 + MultiEmo-Test 1.0: Corpus of Multi-Domain Consumer Reviews. Test dataset from PolEmo 1.0 was translated to eight different languages: Dutch, English, French,...

The dataset is a dependency treebank with sentiment annotations.

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 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...