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Shah Jahinuzzaman - IEEE Xplore Author Profile

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In this paper, we present our system’s design, focusing on named entity recognition (NER) in the Arabic language. Our approach employs a transformer-based language model, augmented with data from open sources. We report our experiments with NER in Arabic, where we conduct a comparative analysis of the performance between CamelBERT and two other models, namely UBC-NLP-ArBert2 and AraBERTv02. This e...Show More
The number of online reviews increase considerably on platforms and have a significant impact on purchase decisions. These reviews can represent both an opportunity and a threat for a company. It is therefore essential to detect among the huge quantity of reviews, those which are unreliable. A question then arises: how to detect deceptive reviews? In this paper, we were interested in the concept o...Show More
Many online social networks (like blogs or Twitter) allow users to post and share their opinions on various topics. The detection and interpretation of these subjective comments is strategic for various organizational and business purposes, e.g., product and service benchmarking, ads placement or market intelligence. This article aims at enhancing the opinion detection process, i.e., the identific...Show More
In this paper, we are interested in defining the gender of blogger while using only texts written from bloggers. For that purpose, we offer a number of features based on specific words, which were categorized into classes. For each blog, a score is calculated based on these characteristics, thereby determining the gender of its author. The evaluation was made on a corpus of 681,288 Blogs (140 mill...Show More