An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis

Handle:	https://hdl.handle.net/21.11129/0000-000D-FE8A-A (persistent URL to this page)

An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the original tweet with its ID.

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DistributionLicence

MIT

Restrictions: Attribution

Download location: hidden

Distribution Access/Medium: Downloadable

Contact Person

Eshrag Refaee

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text

Monolingual text corpusLanguages

Arabic

Linguality

Linguality type: Monolingual

Size

7,503 Sentences

26,724 tokens Tokens

Metadata

Created: 09/22/2020

Last Updated: 11/19/2020

Metadata Creator

Sara Grilo

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University of Lisbon, Faculty of Sciences FCUL Sala 6.3.32, Edifício C6, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa

1749-016 Lisboa

Campo Grande

Portugal

Usage

Foreseen UseNlp Applications

Use NLP Specific: Text Mining

Documentation

Document Type: In Proceedings

Eshrag Refaee and Verena Rieser, An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis, , 2014

Editor: Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis

Publisher: European Language Resources Association (ELRA)

Book Title: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

ISBN: 978-2-9517408-8-4

Document Language: English

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