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twitter_titling_corpus.tab
Aug 23, 2019 - Twitter Titling Corpus
Tabular Data - 219.0 KB - 5 Variables, 4002 Observations - UNF:6:+F3lLKziwMvjy+xyktkilw==
Data
Twitter Titling Corpus
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...
The MSC Data Set
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...
supplementaryNotes.pdf
supplementaryNotes.pdf
Sep 5, 2019 - Sentiment Compound Data (DE)
Adobe PDF - 126.2 KB - MD5: 846a2849d5f0f4a119d504d79260c6fa
Documentation
SitEnt_DE.zip
Dec 10, 2019 - GER_SET: Situation Entity Type labelled corpus for German
ZIP Archive - 414.5 KB - MD5: e1733e5ce7ef02577239d5a9ada0d8ba
sentimentViewsOfOpinionNouns.txt
Sep 5, 2019 - Sentiment Compound Data (DE)
Plain Text - 31.9 KB - MD5: bf369686743f258705fd6cc675cfcaf0
Data
sentiment_views.verb.txt
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 16.7 KB - MD5: fe12c4d04955984bbe5d8ea2a2cebeb9
Data
sentiment_views.noun.txt
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 27.3 KB - MD5: 0c7cee77b6e00b86a6bb0c617e0f49c9
Data
sentiment_views.adj.txt
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 41.9 KB - MD5: da9c01785d8534555aaa1e972776537f
Data
Sentiment View Lexicon (EN)
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.
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