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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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RoMEMES

Authors: Păiș, Vasile; Niță, Sara; Jerpelea, Alexandru; Pană, Luca; Curea, Eric;
Abstract

RoMEMES is a dataset of Romanian language memes, collected from public social media platforms. The dataset was manually annotated with: associated text in Romanian language, image complexity, sentiment, political content. In addition, the dataset contains associated metadata and the text part was automatically annotated in the RELATE platform with part-of-speech tags, lemmas, and dependency parsing. Files and folders in this dataset: metadata.tsv - contains metadata and annotations; the first column is the file ID text - folder containing text files, following the file naming convention ID.txt images - folder containing image files, following the file naming convention ID.extension, where extension is the original file extension (sometimes this may not correspond with the mime/type of the file, as indicated in metadata.tsv) conllup - folder containing automatic text annotations, created in the RELATE platform, following the file naming convention ID.conllup

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Keywords

Natural language processing, sentiment analysis, memes, multimodal, Romanian language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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