Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

Y Albalawi, J Buckley, NS Nikolov - Journal of big Data, 2021 - Springer
This paper presents a comprehensive evaluation of data pre-processing and word
embedding techniques in the context of Arabic document classification in the domain of …

Effect of stemming on text similarity for Arabic language at sentence level

MO Alhawarat, H Abdeljaber, A Hilal - PeerJ Computer Science, 2021 - peerj.com
Abstract Semantic Text Similarity (STS) has several and important applications in the field of
Natural Language Processing (NLP). The Aim of this study is to investigate the effect of …

[PDF][PDF] Social Media based Analysis of Refugees in Turkey.

A Bulbul, C Kaplan, SH Ismail - BroDyn@ ECIR, 2018 - ceur-ws.org
In this paper, we propose a method to find out public social media accounts of refugees, and
trace them back to infer temporal and spatial events. These data will have many future …

Exploring Arabic Hotel Reviews: Sentiment Insights Through Deep Learning and BERT Transformers Models

M Benali - International Conference on Digital Technologies and …, 2024 - Springer
An application of natural language processing (NLP) called sentiment analysis (SA) has
been a more popular field of study in recent years in both scientific research and the …

Trustworthiness of health-related information on Arabic social media

Y Albalawi - 2022 - researchrepository.ul.ie
Social media (SM) platforms play a vital role in disseminating health-related information.
However, evidence suggests that Twitter posts (ie, tweets) are often inaccurate; for example …

[PDF][PDF] Arabic Minimal Pairs Word Detection and Disambiguation

MT Elhadi - International Journal of Computer Applications - researchgate.net
This work is an attempt to solve a common writing problem and pitfall for Arabic language.
The problem involves words that contain letters such as (among many others) ظ THA and ض …‎