| dc.contributor.author | Brglez, Mojca |
| dc.contributor.author | Zayed, Omnia |
| dc.contributor.author | Buitelaar, Paul |
| dc.date.accessioned | 2025-11-19T12:57:15Z |
| dc.date.available | 2025-11-19T12:57:15Z |
| dc.date.issued | 2023-01-24 |
| dc.identifier.uri | http://hdl.handle.net/11356/1787 |
| dc.description | TCMeta is a dataset of noun phrase constructions from COVID-related tweets, annotated for relation-level metaphor. It contains 2,138 Slovene and 2,221 English instances in tab-separated tabular format .tsv, where each line presents a unique phrase under consideration, extracted from a COVID-related tweet. The primary annotations include the COVID metaphor label (whether the phrase expresses a metaphor relating to COVID), but also additional ones for idioms, metaphors not relating to COVID, or metaphors not evident on the relation-level. The complete user tweet could not be published due to the ToS of the then Twitter platform. We recommend retrieving the text of the tweets via their IDs using the Hydrator tool [https://github.com/docnow/hydrator] or similar. The dataset is further described in: Brglez, M., Zayed, O. & Buitelaar, P. TCMeta: a multilingual dataset of COVID tweets for relation-level metaphor analysis. Lang Resources & Evaluation 59, 437–475 (2025). https://doi.org/10.1007/s10579-024-09725-z. @article{brglez2025tcmeta, title={{TCMeta}: a multilingual dataset of {COVID} tweets for relation-level metaphor analysis}, author={Brglez, Mojca and Zayed, Omnia and Buitelaar, Paul}, journal={Language Resources and Evaluation}, pages={437--475}, volume={59}, year={2025}, publisher={Springer}, doi = {10.1007/s10579-024-09725-z} } |
| dc.language.iso | eng |
| dc.language.iso | slv |
| dc.publisher | Faculty of Arts, University of Ljubljana |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/883285 |
| dc.relation.isreferencedby | https://doi.org/10.1007/s10579-024-09725-z |
| dc.relation.replaces | https://doi.org/10.5281/zenodo.16921580 |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.label | PUB |
| dc.subject | metaphor |
| dc.subject | |
| dc.subject | social media |
| dc.subject | COVID-19 |
| dc.subject | manual annotation |
| dc.title | Multilingual dataset of COVID tweets for relation-level metaphor analysis TCMeta 1.0 |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Mojca Brglez mojca.brglez@ff.uni-lj.si Faculty of Arts, University of Ljubljana |
| sponsor | European Union EC/H2020/883285 PANDEM-2 - Pandemic Preparedness and Response euFunds info:eu-repo/grantAgreement/EC/H2020/883285 |
| sponsor | Science Foundation Ireland SFI/12/RC/2289_P2 Insight nationalFunds |
| sponsor | University of Ljubljana P6-0215 Slovene Language - Basic, Contrastive, and Applied Studies nationalFunds |
| size.info | 4359 entries |
| files.count | 2 |
| files.size | 234483 |
Files in this item
Download all files in item (228.99 KB)This item is
Creative Commons - Attribution 4.0 International (CC BY 4.0)
Publicly Available
and licensed under:Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Name
- README.txt
- Size
- 2.39 KB
- Format
- Text file
- Description
- description
- MD5
- 425c9b3f580725daba40877c2d73eecc
TCMeta is a multilingual dataset of COVID tweets for relation-level metaphor analysis.
It contains 2,138 Slovene and 2,221 English noun phrase constructions extracted from COVID-related tweets that are annotated for relation-level metaphor.
The data is in tab-separated tabular format .tsv. Each line presents a unique phrase, extracted from a COVID-related tweet.
The primary annotations can be found in the column "COVID metaphor label" (whether the phrase expresses a metaphor relating to COVID). Additional annotations can be found in the "Comments" column, and include annotations of idioms, metaphors not relating to COVID, and metaphors not evident on the relation-level.
The data contains the following columns:
Language the language of the tweet, 'sl' (Slovene) or 'en' (English)
Tweet ID the unique identifier of the tweet, which can be used to retrieve the text of the post
Phrase the phrase extracted from the tweet
COVID metaphor label 'y' (Yes) or 'n' (No): whether it is . . .
- Name
- TCMeta.v1.tsv
- Size
- 226.6 KB
- Format
- Unknown
- Description
- dataset
- MD5
- a61a7c336d66d87f3822be638a744cb9