All Outputs (3)

Arabic Short-text Dataset for Sentiment Analysis of Tourism and Leisure Events (2025)
Journal Article
Basabain, S., Al‐Dubai, A., Cambria, E., Alomar, K., & Hussain, A. (2025). Arabic Short-text Dataset for Sentiment Analysis of Tourism and Leisure Events. Expert Systems, 42(5), Article e70030. https://doi.org/10.1111/exsy.70030

The focus of this study is to present the detailed process of collecting a dataset of Arabic short-text in the tourism context and annotating this dataset for the task of sentiment analysis using an automatic zero-shot labelling technique utilising t... Read More about Arabic Short-text Dataset for Sentiment Analysis of Tourism and Leisure Events.

Enhancing Arabic-text Feature Extraction Utilizing Label-semantic Augmentation in Few/Zero-shot Learning (2023)
Journal Article
Basabain, S., Cambria, E., Alomar, K., & Hussain, A. (2023). Enhancing Arabic-text Feature Extraction Utilizing Label-semantic Augmentation in Few/Zero-shot Learning. Expert Systems, 40(8), Article e13329. https://doi.org/10.1111/exsy.13329

A growing amount of research use pre-trained language models to address few/zero-shot text classification problems. Most of these studies neglect the semantic information hidden implicitly beneath the natural language names of class labels and develo... Read More about Enhancing Arabic-text Feature Extraction Utilizing Label-semantic Augmentation in Few/Zero-shot Learning.

SAtour: Sentiment analysis of Saudi Arabia Tourism Tweets (2023)
Data
Basabain, S. (2023). SAtour: Sentiment analysis of Saudi Arabia Tourism Tweets. [Data]. https://doi.org/10.17869/enu.2023.3036363

SAtour is a new dataset of Arabic tweets in the tourism domain for Arabic SA. The total corpus size is 2293 tweets, after manual annotation these tweets were labeled as either positive, negative, or neutral. We present the detailed process of collect... Read More about SAtour: Sentiment analysis of Saudi Arabia Tourism Tweets.