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Text · dataset · 2022

SentiNews

Listed in Hugging Face Datasets

SentiNews is a Slovenian sentiment classification dataset, consisting of news articles manually annotated with their sentiment by between 2 and 6 annotators.

Description

The news articles contain political, business, economic and financial content from the Slovenian news portals 24ur, Dnevnik, Finance, Rtvslo, and Žurnal24. The texts were annotated using the five-level Lickert scale (1 – very negative, 2 – negative, 3 – neutral, 4 – positive, and 5 – very positive) on three levels of granularity, i.e. on the document, paragraph, and sentence level.

The final sentiment is determined using the following criterion: negative (if average of scores ≤ 2.4); neutral (if average of scores is between 2.4 and 3.6); positive (average of annotated scores ≥ 3.6).

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
tabular · text · text classification
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetscjvt/sentinews11 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0