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 lexicalConceptualResource 
lexicalConceptualResource
Avtor(ji):
Opis:
CLARIN.SI-embed.sr contains word embeddings induced from the srWaC web corpus. The embeddings are based on the skip-gram model of fastText trained on 554,606,544 tokens of running text for (1) 881,150 lowercased surface ...
 Ta vnos vsebuje 4 datotek(e) (3.36 GB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
Avtor(ji):
Opis:
CLARIN.SI-embed.hr contains word embeddings induced from a large collection of Croatian texts composed of the Croatian web corpus hrWaC and a 400-million-token-heavy collection of newspaper texts. The embeddings are based ...
 Ta vnos vsebuje 4 datotek(e) (4.88 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required
 lexicalConceptualResource 
lexicalConceptualResource
Opis:
CLARIN.SI-embed.sl contains word embeddings induced from a large collection of Slovene texts composed of existing corpora of Slovene, e.g GigaFida, Janes, KAS, slWaC etc. The embeddings are based on the skip-gram model of ...
 Ta vnos vsebuje 4 datotek(e) (6.41 GB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
Opis:
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 ...
 Ta vnos vsebuje 1 datoteko (29.54 MB).
 
Publicly Available
 lexicalConceptualResource 
lexicalConceptualResource
Opis:
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 ...
 Ta vnos vsebuje 3 datotek(e) (93.95 KB).
 
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 corpus 
corpus
Opis:
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 ...
 Ta vnos vsebuje 16 datotek(e) (49.38 MB).
 
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