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This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Ahmed Zellou
Mohammed V University
Electrical & Electronics Engineering

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Assessing the quality of social media data: a systematic literature review Oumaima Reda; Ahmed Zellou
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4588

Abstract

In recent years, social media have been at the heart of new communication technologies. They are no longer used only to facilitate interaction between family, friends, and professional relationships, but tend to become an increasingly used communication channel to address public opinion. Research involving data sources from social media are relatively a recent and expanding area of research, nevertheless, the literature remains limited regarding the complex issue of how to assess and ensure the quality of social media data significantly and adequately. Our goal in this study is to provide a clearer and deeper understanding and a comprehensive overview of the existing state of research pertaining to the assessment of data quality in social media context. We performed a systematic literature review (SLR) on the quality of social media data to collect, analyze, and discuss data on the accuracy and value of prior literature that has focused on this area, has addressed a variety of topics, and has been published between 2016 and 2021. We followed a predefined review process to cover all relevant research papers published during this period. Our results demonstrate and strengthen the significance and the importance of data quality especially in the context of social media.
A novel fuzzy logic-based approach for textual documents indexing Latifa Rassam; Imane Ettahiri; Ahmed Zellou; Karim Doumi
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp254-263

Abstract

In the evolving landscape of information retrieval and natural language processing, the quest for more effective automatic keyword extraction (AKE) techniques from textual documents has become a pivotal research focus. Existing methodologies, while offering valuable insights, often grapple with the challenges posed by the imprecision and variability inherent in human language. This has led to a growing recognition of the need for innovative approaches to navigating textual content’s nuances more adeptly. In response to this imperative, this paper proposes a novel fuzzy indexing approach designed specifically for the indexing of textual documents. Fuzzy indexing, grounded in the principles of fuzzy logic, provides solutions for handling the inherent uncertainty and imprecision in natural language, especially when confronted with the intricacies of linguistic ambiguity and variability. By leveraging the power of fuzzy logic, we aim to enhance the precision of keyword extraction. This paper unfolds the intricacies of our fuzzy indexing approach, detailing the theoretical methodology through empirical evaluation and comparative analysis; we seek to demonstrate the efficacy of our approach in outperforming traditional methods in the context of fuzzy indexing for textual documents.
Co-Authors Imane Ettahiri Karim Doumi Latifa Rassam Oumaima Reda