OLAC Record
oai:catalogue.elra.info:ELRA-W0337

Metadata
Title:Corpus for fine-grained analysis and automatic detection of irony on Twitter
Access Rights: Rights available for: nonCommercialUse, commercialUse
Date Available (W3CDTF):2023-11-07
Date Issued (W3CDTF):2023-11-07
Description:The Corpus for fine-grained analysis and automatic detection of irony on Twitter was carefully annotated by trained annotators (Master’s students in Linguistics) using a detailed annotation scheme for irony categorization, which describes four labels: ‘ironic by means of a polarity contrast’, ‘situational irony’, ‘other verbal irony’ and ‘not ironic’. The full guidelines are also provided. All annotations were done using the Brat online annotation tool (https://brat.nlplab.org/index.html) and were revised by the responsible researcher of this project.The dataset consists of 4791 instances with an irony label and a tweet ID. The dataset is provided as an MS Excel file and a CSV (UTF-8) file.
Identifier:ELRA-W0337
ISLRN: 478-366-550-085-8
Identifier (URI):https://catalog.elra.info/en-us/repository/browse/ELRA-W0337/
Language:English
Language (ISO639):eng
Medium:Not specified
Publisher:ELRA (European Language Resources Association)
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  ELRA Catalogue of Language Resources
Description:  http://www.language-archives.org/archive/catalogue.elra.info
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:catalogue.elra.info:ELRA-W0337
DateStamp:  2023-11-07
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: n.a. 2023. ELRA (European Language Resources Association).
Terms: area_Europe country_GB dcmi_Text iso639_eng olac_primary_text


http://www.language-archives.org/item.php/oai:catalogue.elra.info:ELRA-W0337
Up-to-date as of: Fri Apr 19 6:30:44 EDT 2024