What's New

 corpus 
corpus
Description:
FRENK-STYRIA-24sata is a dataset of moderated newspaper comments from the website 24sata.hr with metadata on the time of publishing, user identifier, thread identifier and whether the comment was deleted by the moderators ...
 This item contains 2 files (7.62 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 corpus 
corpus
Description:
FRENK-MMC-RTV is a dataset of moderated newspaper comments from the website rtvslo.si with metadata on the time of publishing, user identifier, thread identifier and whether the comment was deleted by the moderators or ...
 This item contains 2 files (4.65 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 lexicalConceptualResource 
lexicalConceptualResource
Description:
TERMIS is a terminology database with 2,000 entries from the field of public relations. The terms in Slovene are explained and translated into English, with typical context examples (collocations and examples of use) taken ...
 This item contains 1 file (1.89 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required

Most Viewed Items

Top Last Week
 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).
 
Publicly Available
 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).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 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 ...
 This item contains 16 files (49.38 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike