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Graph-Based Extractive Text Summarization Sentence Scoring Scheme for Big Data Applications
Published 2023“…The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. …”
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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
Published 2014“…Then, the linear regression prediction experiments are repeated after text mining the descriptive text features. After text mining process, thousands of features are generated to reflect the significance of thousands of unique words using the term weighting scheme: term frequency-inverse term frequency TF-IDF. …”
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The Need for Domestication: An Annotated Translation of a Personal Development Text from English to Arabic
Published 2005Get full text
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45
Amharic Speech Search Using Text Word Query Based on Automatic Sentence-like Segmentation
Published 2022“…A popular approach in developing systems for searching particular information in speech involves using an automatic speech recognition (ASR) module that generates the text version of the speech where the word or phrase is searched based on text query. …”
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A systematic review of text classification research based on deep learning models in Arabic language
Published 2020“…Classifying or categorizing texts is the process by which documents are classified into groups by subject, title, author, etc. …”
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…Second, a hybrid genetic-whale optimization algorithm was proposed to optimize ontology learning from Arabic text. The operator of the G-WOA is a hybrid operator integrating GA’s mutation, crossover, and selection processes with the WOA’s processes (encircling prey, attacking of bubble-net, and searching for prey) to fulfill the balance between both exploitation and exploration, and to find the solutions that exhibit the highest fitness. …”
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Littératies numériques et textes multimodaux : l’écriture créative collaborative en classe de FLE
Published 2021“…It focuses on the hybrid and polyphonic nature of the digital text, the processes of its creation and launches a reflection on the challenge of the author's authority in a digital and collaborative writing environment. …”
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A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining
Published 2021“…Second, an up-to-date overview of the IoT cybersecurity standards landscape has been mapped by combining existing overviews. Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”
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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…Text classification is a key task of the Natural Language Processing (NLP) field that aims at assigning predefined categories to textual documents. …”
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Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria
Published 2023Subjects: -
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An Arabic social media based framework for incidents and events monitoring in smart cities
Published 2019“…In this work, we propose a novel framework for events and incidents’ management in smart cities. Our framework uses text mining, text classification, named entity recognition, and stemming techniques to extract the intelligence needed from Arabic social media feeds, for effective incident and emergency management in smart cities. …”
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Sentiment analysis for Arabizi in social media. (c2015)
Published 2015“…Informal Arabic lacks standardization and has no grammar, thus sentimental analysis in this area is considered a complex process. Sentiment Analysis for Arabic has been studied for MSA (Modern Standard Arabic) but rarely for informal Arabic, and non-existent for Arabizi; whereas most of the youth in Lebanon text in Arabizi claiming that it is easier than texting in Arabic. …”
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A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
Published 2022“…We study the key research areas in phishing email detection using NLP, machine learning algorithms used in phishing detection email, text features in phishing emails, datasets and resources that have been used in phishing emails, and the evaluation criteria. …”
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024Subjects: -
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Iterative Querying in Web-Based Database Application
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