Datasets:

NoraAlt
/

Mawqif_Stance-Detection

Tasks:

Text Classification

Modalities:

Formats:

Languages:

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Tags:

Stance Detection

Sentiment Analysis

Sarcasm Detection

Libraries:

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NoraAlt commited on Feb 4, 2023

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 # Mawqif Statistics
-- This dataset consists of 4,121 tweets in multi-dialectal Arabic. Each tweet is annotated with a stance toward one of three targets: “COVID-19 vaccine,” “digital transformation,” and “women empowerment.” In addition, it is annotated with sentiment and sarcasm polarities.
 - The following figure illustrates the labels’ distribution across all targets, and the distribution per target.

 # Mawqif Statistics
+- This dataset consists of **4,121** tweets in multi-dialectal Arabic. Each tweet is annotated with a stance toward one of three targets: “COVID-19 vaccine,” “digital transformation,” and “women empowerment.” In addition, it is annotated with sentiment and sarcasm polarities.
 - The following figure illustrates the labels’ distribution across all targets, and the distribution per target.