1 to 10 of 55 Results
Aug 23, 2019 -
Twitter Titling Corpus
Tabular Data - 219.0 KB - 5 Variables, 4002 Observations - UNF:6:+F3lLKziwMvjy+xyktkilw==
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Aug 23, 2019
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2019, "Twitter Titling Corpus", https://doi.org/10.11588/data/IOHXDF, heiDATA, V1, UNF:6:+F3lLKziwMvjy+xyktkilw== [fileUNF]
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 naming form used to refer to the president, for the purpose of a study on the relation between naming variat... |
Oct 7, 2019
Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set", https://doi.org/10.11588/data/JEESIQ, heiDATA, V1
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and... |
Sep 5, 2019 -
Sentiment Compound Data (DE)
Adobe PDF - 126.2 KB -
MD5: 846a2849d5f0f4a119d504d79260c6fa
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Dec 10, 2019 -
GER_SET: Situation Entity Type labelled corpus for German
ZIP Archive - 414.5 KB -
MD5: e1733e5ce7ef02577239d5a9ada0d8ba
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Sep 5, 2019 -
Sentiment Compound Data (DE)
Plain Text - 31.9 KB -
MD5: bf369686743f258705fd6cc675cfcaf0
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 16.7 KB -
MD5: fe12c4d04955984bbe5d8ea2a2cebeb9
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 27.3 KB -
MD5: 0c7cee77b6e00b86a6bb0c617e0f49c9
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 41.9 KB -
MD5: da9c01785d8534555aaa1e972776537f
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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. |