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An efficient approach for textual data classification using deep learning
Published 2022“…Similarly, deep learning offers enormous benefits for text classification since they execute highly accurately with lower-level engineering and processing. …”
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Author Correction: Arabic natural language processing for Qur’anic research: a systematic review
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PC based offline Arabic text recognition system
Published 2003“…Character recognition systems can contribute tremendously to the advancement of automation process and can improve the interaction between man and machine in many applications. …”
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies. …”
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A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text
Published 2001“…However, only a small number of research papers and reports have been published in this area, due to the difficult problems associated with Arabic handwritten text processing. In this work, a technique is presented that segments handwritten Arabic text. …”
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Supervised term-category feature weighting for improved text classification
Published 2022“…Text classification is a central task in Natural Language Processing (NLP) that aims at categorizing text documents into predefined classes or categories. …”
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T-Stem - A Superior Stemmer and Temporal Extractor for Arabic Texts
Published 2005“…The main part of improvement was due to the addition of more grammatical rules that facilitate the process of stemming.Following this part, we implemented a procedure that extracts the temporal references from the texts. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…”
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Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering
Published 2022“…This paper describes a new solution for extractive text summarization, designed to efficiently process flat (unstructured) text. …”
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Unsupervised Topical Organization of Documents using Corpus-based Text Analysis
Published 2021“…This study aims at automating the process of topical keyword organization of set of documents in an input text corpus. …”
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Using Text Mining and Cluster Analysis to Improve Customers Complaints System
Published 2018“…The study research question answered through customer’s complaints analysis after applying text mining processes and K-means clustering technique. …”
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Recognition of Off-line printed Arabic text Using Hidden Markov Models
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A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001)
Published 2001Get full text
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Evaluating the authenticity of ChatGPT responses: a study on text-matching capabilities
Published 2023“…This study aims to investigate the authenticity capabilities of ChatGPT models 3.5 and 4 in generating novel, coherent, and accurate responses that evade detection by text-matching software. The repeatability and reproducibility of both models were analyzed, showing that the generation of responses remains consistent. …”
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The Role of Arbitrator in Arbitration Process
Published 2022“…The judiciary is considered one of the pillars of the state’s balance, as it achieves justice among members of society through the correct application of the laws and legislation in force in the state, and due to the spread of arbitration as an alternative dispute resolution method, I have chosen in this thesis to shed the light on the role of the arbitrator in the arbitration process and the extent to which this role affects the success of the arbitration process as the arbitrator plays the role of the judge in the arbitration process. …”
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