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Rational Kernels for Arabic Stemming and Text Classification
[article]
2015
arXiv
pre-print
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This document representation allows us to use and explore rational kernels as a framework for Arabic Text Classification. ...
In this paper, we address the problems of Arabic Text Classification and stemming using Transducers and Rational Kernels. ...
Rational Kernels for Arabic Text Classification Our ATC system is divided into three stages: 1. preprocessing step. 2. feature extraction: the previous transducer is applied on each word of the document ...
arXiv:1502.07504v1
fatcat:2uhwov34zrfwjfhytjykwxbt7y
Rational kernels for Arabic Root Extraction and Text Classification
2016
Journal of King Saud University: Computer and Information Sciences
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This document representation allows us to use and explore rational kernels as a framework for Arabic Text Classification. ...
In this paper, we address the problems of Arabic Text Classification and root extraction using transducers and rational kernels. ...
Rational kernels for Arabic Text Classification Our ATC system is structured as follows: 1. Preprocessing step. 2. ...
doi:10.1016/j.jksuci.2015.11.004
fatcat:y3nddtuu5jc4hoqa2o5vdtvbxa
Investigating the Effect of Different Kernel Functions on the Performance of SVM for Recognizing Arabic Characters
2016
International Journal of Advanced Computer Science and Applications
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This paper studies the effect of different kernel functions on the performance of SVMs for recognizing Arabic characters. Eleven different kernel functions are used throughout this study. ...
The resulting kernel functions can be considered as base for future studies aiming at enhancing their performance. ...
((x, y) + c) Many authors tried the investigation of using SVMs and similar tools for recognizing Arabic characters and categorizing Arabic text. ...
doi:10.14569/ijacsa.2016.070160
fatcat:nwf24c76afecba4z6hc3nf752y
Text mining: A survey of Arabic root extraction algorithms
2021
International Journal of Advanced and Applied Sciences
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This paper will present a brief background for a number of stemming algorithms on how to extracting the root and stem of the Arabic word, then make a comparison and discussion of a number of selected algorithms ...
This paper will present a brief background and comprehensive presentation of a number of algorithms that handle the Arabic text to extract the word root in its light, heavy, hybrid, leading, and Markovian ...
Root extraction using Rational Kernels and text classification. ...
doi:10.21833/ijaas.2021.01.002
fatcat:4girld4edfc2zc2bceukd5xpp4
End-Shape Recognition for Arabic Handwritten Text Segmentation
[chapter]
2014
Lecture Notes in Computer Science
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Text segmentation is an essential pre-processing stage for many systems such as text recognition and word spotting. However, few methods have been published for Arabic text segmentation. ...
In Arabic handwritten documents, separating text into words is challenging due to the enormous different Arabic handwriting styles. ...
LibSVM uses a Radial Basis Function (RBF) kernel for mapping a nonlinear sample into a higher sample space. ...
doi:10.1007/978-3-319-11656-3_21
fatcat:r74agajthrbkbfw3rglukfeowm
ARAACOM: ARAbic Algerian Corpus for Opinion Mining
[article]
2020
arXiv
pre-print
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2017
Proceedings of the International Conference on Computing for Engineering and Sciences - ICCES '17
unpublished
doi:10.1145/3129186.3129193 fatcat:fyyzcsgqjzechn674mx634kzqa
doi:10.1145/3129186.3129193 fatcat:fyyzcsgqjzechn674mx634kzqa
In this paper, we propose our approach, for opinion mining in Arabic Algerian news paper. CCS CONCEPTS ∙Information systems Sentiment analysis ∙ Computing methodologies Natural language processing ...
So, this makes for us a lot of data which need powerful mean to exploit. ...
Naïve Bayes The naive bayes classifier is a well known algorithm used in text classification. ...
arXiv:2001.08010v1
fatcat:wgiendgbjzgpbdc73tqhbsh7ea
A Study of Sindhi Related and Arabic Script Adapted languages Recognition
[article]
2014
arXiv
pre-print
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Arabic script is also one of mature script from OCR perspective. The adaptive languages which share Arabic script or its extended characters; still lacking the OCRs for their language. ...
A large number of publications are available for the Optical Character Recognition (OCR). Significant researches, as well as articles are present for the Latin, Chinese and Japanese scripts. ...
The techniques include text line segmentation, word and character segmentation and classification. ...
arXiv:1412.4217v1
fatcat:a5k6co7ilrd3njsc2dnlfh3yx4
Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review
2022
Big Data Mining and Analytics
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The task of trying to quantify a person's intelligence has been a goal of psychologists for over a century. ...
The unavailability of large datasets in this area of research has led to very few publications in IQ estimation from written text. ...
Using Farasa (a fast and accurate text processing toolkit for Arabic) they tokenized the long text into tokens. Table 9 Gender classification results for loose classification [48] . ...
doi:10.26599/bdma.2022.9020002
fatcat:426awpckabcvto3svay7cab6wu
Comparison of Feature Extraction Techniques for Pattern Classification
2021
International Journal for Research in Applied Science and Engineering Technology
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In this article, a pattern recognition problem for handwritten Malayalam character is presented. This system goes through two different stages of HCR namely, feature extraction and classification. ...
Pattern recognition is a challenging task in research field for the last few decades. ...
It has also been proved to be very successful in many other applications such as handwritten character recognition, image classification, face detection, object detection, and text classification. ...
doi:10.22214/ijraset.2021.36214
fatcat:tii3ayi5wrcarbrhd5u76drjna
Creation of Arabic Ontology for Hadith Science
2019
International Journal of Advanced Trends in Computer Science and Engineering
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The kernel of the ontology is created with Protégé. The result is an OWL/XML document. ...
The main objective of this paper is to build and implement an ontology for all concepts and main knowledge of Hadith Science. ...
them for hadith semantic annotation, information retrieval and classification. ...
doi:10.30534/ijatcse/2019/96862019
fatcat:cn4p3dyma5h7ziprp5czwptohe
Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches
2021
Complexity
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This paper presents a comprehensive comparative study of neural network and transformer-based language models used for Arabic FND. ...
We examine the use of neural networks and transformer-based language models for Arabic FND and show their performance compared to each other. ...
all models for classification. ...
doi:10.1155/2021/5516945
fatcat:4of6srfkkbfsxazmpv5pojmnw4
Arabic Opinion Mining Using a Hybrid Recommender System Approach
[article]
2020
arXiv
pre-print
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This research focuses especially on Arabic reviews, where the model is evaluated using Opinion Corpus for Arabic (OCA) dataset. ...
research proposed a hybrid approach combining sentiment analysis and recommender systems to tackle the problem of data sparsity problems by predicting the rating of products from users reviews using text ...
Train ration
Our Model
Baseline. ...
arXiv:2009.07397v1
fatcat:3xutk3oys5bb3fvsjwrvxtrb7i
Automatic Language Identification in Texts: A Survey
[article]
2018
arXiv
pre-print
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Today, LI is a key part of many text processing pipelines, as text processing techniques generally assume that the language of the input text is known. ...
Automatic LI has been extensively researched for over fifty years. ...
We would like to thank Kimmo Koskenniemi for many valuable discussions and comments concerning the early phases of the features and the methods sections. ...
arXiv:1804.08186v2
fatcat:4rmixp4i5fb55itb7ze5avkgqy
Automatic Language Identification in Texts: A Survey
2019
The Journal of Artificial Intelligence Research
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Today, LI is a key part of many text processing pipelines, as text processing techniques generally assume that the language of the input text is known. ...
Automatic LI has been extensively researched for over fifty years. ...
We would like to thank Kimmo Koskenniemi for many valuable discussions and comments concerning the early phases of the features and the methods sections. ...
doi:10.1613/jair.1.11675
fatcat:axugpuogyne3nptvamgd3zwgty
Fast transpose methods for kernel learning on sparse data
2006
Proceedings of the 23rd international conference on Machine learning - ICML '06
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On very large natural language tasks (tagging, translation, text classification) with sparse feature representations, a 20 to 80-fold speedup over LIBSVM is observed using the same SMO algorithm. ...
Caching and shrinking are also optimized for sparsity. ...
This type of input can be used for text classification (Joachims, 1998b) , Machine Translation, text annotation and tagging (Bangalore & Joshi, 1999) . ...
doi:10.1145/1143844.1143893
dblp:conf/icml/Haffner06
fatcat:4d2xrk5hyvbdxlaww53k6xcara
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