28 results for "Mostafa Aref"
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DETECTING AND RESOLVING AMBIGUITY APPROACH IN REQUIREMENT SPECIFICATION: IMPLEMENTATION, RESULTS AND EVALUATION
Requirements documentsare always written in natural language. At the point when a sentence can be understood diversely among various readersambiguity is happened [1]. In this paper, we illustrate an automated tool for detectingand resolvingambiguities thatcause a high risk of misunderstanding…
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Toward multi-lingual information retrieval system based on internet linguistic diversity measurement
We introduce a method for measuring the quantity of online content of a set of languages at domain level. This measurement is used for building a Multi-Lingual Information Retrieval (MLIR) system that identifies which languages are strongly represented on the internet about a specific query topic…
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Ontology-Based Enneagram Personality Prediction System
Abstract Researchers are keen on finding out about people’s emotions and interests. Personality prediction helps in this issue. Recognizing consumers’ sentiments and desires assists in the development of better recommendation systems and dating applications. Previous personality prediction systems…
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A Survey on Graph Reduction Methods and Applications
One of the important Natural Language Processing applications is Text Summarization, which helps users to managethe vast amount of information available, by condensing documents’ content and extracting the most relevant facts or topics included. Text Summarization can be classified according to the…
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Exploring Self-Supervised Pretraining Datasets for Complex Scene Understanding
With the rapid advancements of deep learning research, there have been many milestones achieved in the field of computer vision. However, most of these advances are only applicable in cases where hand-annotated datasets are available. This is considered the current bottleneck of deep learning that…
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ARCHITECTURE FOR PERSONALITY DETECTION USING ENNEAGRAM KNOWLEDGE: CASE STUDY
Researchers are concerned with automated personality detection from social media. Automated Personality detection from text benefits in social media like: attracting more users, career advising and getting more advertisements. Traditional personality detection is done by using an assessment test…
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Mining publication papers via text mining Evaluation and Results
Data nowadays is the language of technologies as every process needs a data to be processed the input is data and the output also is data. Analyzing the data is a significant task especially with the increasing production of the data particularly data as a text, it would be difficult to manually…
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A Proposed Approach for Production in ERP Systems Using Support Vector Machine Algorithm
Using machine learning in Enterprise Resource and Planning system, enable the organization to store, manage and analyze their data to get the right decisions and gain valued visions that were previously unimaginable. One of the most usages of machine learning in Enterprise Resource and Planning is…
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A survey on sentiment analysis in tourism
Tourism-related websites have turned into an incredible data source that impacts the tourism industry from many points of view. Tourists express their opinions regarding products and services online daily. The interest in understanding and analyzing customer opinions has increased significantly…
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PREPROCESSING THE EGYPTIAN ARABIC DIALECT FOR PERSONALITY TRAITS PREDICTION
Each individual has his own distinct character, making his own decisions which is based on his personality. Researchers in computer science field have tried to reach a model for extracting personality traits relying on user’s profiles on social network sites as an input. Content created by users…
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AN APPROACH FOR AUTOMATIC ARABIC ONTOLOGY GENERATION
Abstract. The increasing interest in Ontologies for many natural language applications in the recent years has led to the creation of ontologies for different purposes and with different feature systems.Manual ontology building is a time consuming activity that requires a lot of effort. In order to…
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INTELLIGENTPERSONALIZATION APPROACHESFORCOMPLEX CUSTOMER BEHAVIOUR: AN OVERVIEW
Intelligent techniques have been used in the marketing and sales sectors of business toimprove analysis, increase revenues and save time. In customer-centric institutions, one of the areas inwhich intelligent techniques and data mining algorithms have been used is the personalization forenhanced…
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A SURVEY OF TRANSFORMER AND LARGE LANGUAGE MODEL STRATEGIES FOR CLINICAL ABBREVIATION DISAMBIGUATION: A SPECTRUM OF PARADIGMS
The clinical narrative is a treasure trove of patient information, yet its value is often obscured by a high density of ambiguous abbreviations. For years, resolving this ambiguity was a classic supervised learning problem, held back by data scarcity and the need to create custom models for each…
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A MULTI-FEATURE ACCURATE DETECTION (MFAD) APPROACH FOR LARGE LANGUAGE MODEL-GENERATEDTEXT
Advanced Large Language Models (LLMs) generate highly complex text that closely resembles human writing. However, their rapid development raises significant concerns, such as misinformation and academic cheating. As the responsible use of LLMs becomes increasingly critical, the ability to detect…
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"Bitcoin Sentiment Analysis with LIME-Driven Insights"
In the rapidly evolving landscape of cryptocurrency, gaining a deep understanding of public sentiment has become increasingly essential, especially given the significant impact of social media platforms on market perceptions and trends. This paper introduces a sophisticated sentiment classification…
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JOINT FEATURES-BASED KNOWLEDGE GRAPH COMPLETION
Knowledge graphs (KGs) help in resolving data inconsistencies and redundancies by organizing information in a unified structure, paving the way for building scalable, interpretable AI systems, as they provide a transparent way to trace reasoning paths and conclusions. The continuous evolving nature…
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Enhancing Machine Learning Engineering For Predicting Youth Loyalty In Digital Banking Using A Hybrid Meta-Learners
Customer retention is a top priority for organizations due to its significant impact on corporate profitability. There is a lot of competition between banks to acquire and retain customers. The youth customer segment is the future of digital banks, and hence, this study was conducted to forecast…
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A multi-modal transformer-based model for generative visual dialog system
Recent advancements in generative artificial intelligence have boosted significant interest in conversational agents. The visual dialog task, a synthesis of visual question-answering and dialog systems, requires agents capable of both seeing and chatting in natural language interactions. These…
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Smart Support System for Evaluating Clustering as a Service: Behaviour Segmentation Case Study
Modern surveys reveal diminishing of socio-demographic segment descriptors, and evolution of dramatic increase of online services and customers. These conditions attract both researchers and decision makers to enhance market segmentation to gain customer loyalty and prevent customer attrition. This…
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A COMPARATIVE STUDY ON REINFORCEMENT LEARNING BASED VISUAL DIALOG SYSTEMS
Recently the conjunction between vision and language has created many intersecting tasks as visual question-answering systems, image captioning, etc. Specifically, dialog systems that depend on a visual scene play an important role in improving human-computer interaction technology. At the same…