Swedish ABSAbank-Imm 1.1
type: Dataset
description: I. IDENTIFYING INFORMATION Title* Swedish ABSAbank-Imm v1.1 Subtitle An annotated Swedish corpus for aspect-based sentiment analysis (a version of Absabank) Created by* Aleksandrs Berdicevskis (aleksandrs.berdicevskis@gu.se) Publisher(s)* Språkbanken Text (sb-info@svenska.gu.se) Link(s) / permanent identifier(s)* https://spraakbanken.gu.se/en/resources/superlim License(s)* CC BY 4.0 Abstract* "Absabank-Imm (where ABSA stands for "Aspect-Based Sentiment Analysis" and Imm for "Immigration") is a subset of the Swedish ABSAbank, created to be a part of the SuperLim collection. In Absabank-Imm, paragraphs are manually labelled according to the sentiment (on 1--5 scale) that the author expresses towards immigration in Sweden (this task is known as aspect-based sentiment analysis or stance analysis). To create Absabank-Imm, the original Absabank has been substantially reformatted, but no changes to the annotation were made. The dataset contains 4872 short texts (paragraphs)." Funded by* Vinnova (grants no. 2020-02523, 2021-04165) Cite as Consider citing [1] Related datasets Part of the SuperLim collection (https://spraakbanken.gu.se/en/resources/superlim); derived from ABSAbank (https://spraakbanken.gu.se/en/resources/swe-absa-bank) II. USAGE Key applications Machine Learning, Aspect-based Sentiment Analysis, Stance classification, Evaluation of language models Intended task(s)/usage(s) (1) Evaluate models on the following task: given a text or a paragraph, label the sentiment that the author of text expresses towards immigration in Sweden Recommended evaluation measures Krippendorff''s alpha (the official SuperLim measure). Alternatively, Spearman''s rho or another correlation coefficient' Dataset function(s) Training, testing Recommended split(s) A consecutive split into train, dev and test. The split is consecutive because if paragraphs from the same document end up in both train and test, this will make the task easier and the estimates of how well the model generalize…
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Berdicevskis, Aleksandrs
creator: Borin, Lars
creator: Rouces, Jacobo
creator: Tahmasebi, Nina
date modified: 2023-03-30
date published: 2024-01-01
language: Swedish
is part of: https://doi.org/10.23695/kzyd-b925
keywords: Natural Language Processing
  type: DefinedTerm
  term code: 10208
keywords: Language Technology (Computational Linguistics)
keywords: corpus
license: https://creativecommons.org/licenses/by/4.0/
publisher: University of Gothenburg
version: 0

PropertyValue
property ID: DOI
value: 10.23695/A8NH-1J87

PropertyValue
property ID: slug
value: absabank-imm

Swedish
type: Language
alternate name: swe

University of Gothenburg
type: Organization