[PDF] Top 20 CLASSIFYING ARABIC TEXT USING DEEP LEARNING
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... The using of Word and Document Embeddings as a representational basis rather than depending on text preprocessing and BOW representation was studied in ...representation using word count and TFIDF ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... by using modulated ...by using sine wave based model rather than L-system that is popular and has been adopted in many previous ...by using sine wave is ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Cloud Computing is the on-demand delivery of compute power, applications, database, storage and other IT resources using the Internet. Cloud storage refers, commonly, to online space that we can use to store our ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... solutions using rock elements has been approved by the use of many formulas such as that one of Hudson (1959) [6, 12, 13] and the one of Van Deer Meer (1988) [6, 14, ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... In [6] five knowledge resources were introduced: WordNet, Wikipedia, Wiktionary, Web search engines and Semantic web. The research in [7] classified the methods of computing semantic relatedness into four major ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... for learning And-Or models to represent context and occlusion for car detection and viewpoint estimation was ...and learning different combinations of part visibility based on car 3D CAD ...trained ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... approach using Dirichlet distributions for online handwritten Bengali character ...alpha-numeric using a two stage classifier basing on rectangular grid ...model using SVM and ANN that ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... way using predictive ...The learning time of the predictive model is evaluated based on Time taken to build model, Kappa statistic, MAE, RMSE, RAE and Root Relative ...the learning rate of the ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... The usage of “web of data” for decision making has increased with the presence of On-Line Analytical Processing (OLAP), Data Warehouse (DW), Multidimensional Data (MD), and Semantic Web (SW) technologies. These ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Journal of Theoretical and Applied Information Technology 15th December 2019.. ESTIMATION OF THE SUCCESS OF BITCOIN AS CRYPTOCURRENCY Jesús Álvarez Cedillo1, a, Teodoro Álvarez Sánchez2,[r] ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... To avoid the negative effects of a bankruptcy, Various researchers are interested in predicting the legal failure by designing predictive models that separate between failing and non-failing firms based on an appropriate ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... distance learning on the ...his Learning [10]. Figure 1 shows I- MBLS Architecture. The e-learning system (ELS) is decomposed into a dichotomy of learning materials and grid layers ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Recently, various anti-ransomware tools have been developed by researchers in both academia and industry to detect ransomware families and their own variants online. These tools have been grouped under three categories: ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... In 2017, Gökmen, Dincer, Selcuk, Vahap, Gozde, Izzet, and Ahmet, [13] worked on a simulation study for the RNA-Seq data classification, they contrasted a few classifiers including PLDA renovation, NBLDA, single SVM, ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Due to the prevalence of the low-cost multimedia enabled handheld devices the world is transforming into global village. The development of these devices has exponentially increased the use of internet specifically the ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... summarizing text either for single document or multiple ...machine learning based approach, query based extractive approach, regression for estimating feature weights, multilingual, topic-driven ... See full document
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CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... 0.781 kbits /J. This result was computed using Eq. (2), a data rate of 0.75 Mbps taken from Fig. 5, and by dividing by the total power consumption of 965 W given in Table 1. However, with a 20 MHz BW and two ... See full document
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A Personalized Markov Clustering and Deep Learning Approach for Arabic Text Categorization
... on Arabic text categoriza- tion treats documents as a bag-of-words where the text is represented as a vector of weighted fre- quencies for each of the distinct words or ...categorize Arabic ... See full document
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Arabic Sentences Classification via Deep Learning
... processing the text is tokenization into words, characters, or bag of words, and the words, characters, or bag of words are called tokens. Although tokens are available, CNN models don’t take it as input, they ... See full document
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Emotion analysis of Arabic tweets using deep learning approach
... through text without using a lot of ...In Arabic Social Media analysis, nearly all projects have focused on analyzing the expressions as positive, negative or ...in Arabic tweets. Our model ... See full document
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