21 to 30 of 185 Results
Sep 2, 2019 -
Opinion role extractor
ZIP Archive - 20.8 MB -
MD5: 6704c06c5a8566eb05c3a8e0e0baebc2
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Sep 2, 2019 -
Opinion role extractor
Plain Text - 13.0 KB -
MD5: c4eb5b271a38da142c703216f9648f09
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Sep 2, 2019
Wiegand, Michael, 2019, "Lexicon of Abusive Words (EN)", https://doi.org/10.11588/data/MKPEYV, heiDATA, V1
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. |
Sep 2, 2019 -
Lexicon of Abusive Words (EN)
ZIP Archive - 738.4 KB -
MD5: 46f33f5b7a9c866b1a2fb6dc956b945d
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Sep 2, 2019 -
Lexicon of Abusive Words (EN)
Markdown Text - 4.4 KB -
MD5: 3cbbac5ff1534a6e9c3fcc9a1b0be976
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Sep 2, 2019
Wiegand, Michael, 2019, "GermEval-2018 Corpus (DE)", https://doi.org/10.11588/data/0B5VML, heiDATA, V1
This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection. |
Sep 2, 2019 -
GermEval-2018 Corpus (DE)
ZIP Archive - 14.8 MB -
MD5: 6471a35acf802906383e6d19e5241b37
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Sep 2, 2019 -
GermEval-2018 Corpus (DE)
Markdown Text - 2.1 KB -
MD5: 82583130d72db06eb5fe686c1a8338ac
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Sep 5, 2019
Wiegand, Michael; Ruppenhofer, Josef; Schulder, Marc, 2019, "Sentiment View Lexicon (EN)", https://doi.org/10.11588/data/2JK48O, heiDATA, V1
This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view. |
Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 18.2 KB -
MD5: 4a17ffc27c9f3b240fbf4fe17783c89c
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