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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 ...
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 lexicalConceptualResource 
lexicalConceptualResource
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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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 corpus 
corpus
Description:
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. About half of the corpus is also ...
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 lexicalConceptualResource 
lexicalConceptualResource
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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 ...
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 corpus 
corpus
Description:
The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate ...
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 lexicalConceptualResource 
lexicalConceptualResource
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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 ...
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