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 corpus 
corpus
Description:
The corpus contains 668,529 tweets (tweet IDs) relevant to "impact investing", accompanied by sentiment labels given by an automated sentiment classifier. Impact investing involves investments made into companies, ...
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 lexicalConceptualResource 
lexicalConceptualResource
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Description:
The lexicon contains concreteness and imageability predictions of words in 77 languages. The resource is built via supervised machine learning, using average human responses obtained for Croatian lexemes inside the MEGAHR ...
 This item contains 1 file (164.76 MB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
Description:
This lexicon is an extended version of Sloleks 1.2, http://hdl.handle.net/11356/1039. It contains all the original data from Sloleks with added information about the stress of each word form, which is included in two ways: ...
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 lexicalConceptualResource 
lexicalConceptualResource
Description:
srLex is a large inflectional lexicon of Serbian language where each entry consists of a (wordform, lemma, MSD, frequency, per-million frequency) 5-tuple. The (wordform, lemma, MSD) triple frequencies are calculated on the ...
 This item contains 1 file (29.54 MB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
Description:
A lexicon of 751 emoji characters with automatically assigned sentiment. The sentiment is computed from 70,000 tweets, labeled by 83 human annotators in 13 European languages. The process and analysis of emoji sentiment ...
 This item contains 3 files (93.95 KB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
Description:
The MULTEXT-East morphosyntactic lexicons have a simple structure, where each line is a lexical entry with three tab-separated fields: (1) the word-form, the inflected form of the word; (2) the lemma, the base-form of the ...
 This item contains 12 files (16.27 MB).
 
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