[PDF][PDF] Arabic text clustering methods and suggested solutions for theme-based quran clustering: analysis of literature
Q Bsoul, R Abdul Salam, J Atwan, M Jawarneh - 2021 - repository.kisti.re.kr
Text clustering is one of the most commonly used methods for detecting themes or types of
documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to …
documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to …
Arabic text mining a systematic review of the published literature 2002-2014
H Al-Mahmoud, M Al-Razgan - 2015 International Conference …, 2015 - ieeexplore.ieee.org
Text Mining is a set of techniques that analyzes large masses of data, extract relations that
are unknown beforehand, and provide solutions to help decision-making. Text mining had …
are unknown beforehand, and provide solutions to help decision-making. Text mining had …
The use of stemming in the Arabic text and its impact on the accuracy of classification
The ongoing growth in the vast amount of digital documents and other data in the Arabic
language available online has increased the need for classification methods that can deal …
language available online has increased the need for classification methods that can deal …
Impact of stemming on Arabic text summarization
N Alami, M Meknassi, SA Ouatik… - 2016 4th IEEE …, 2016 - ieeexplore.ieee.org
Stemming is a process of reducing inflected words to their stem or root from a generally
written word form. This process is used in many text mining application as a feature selection …
written word form. This process is used in many text mining application as a feature selection …
Multi-objective of wind-driven optimization as feature selection and clustering to enhance text clustering
M Duaimi, Q Bsoul, A AL-Gburi - International Journal of Data …, 2024 - growingscience.com
Text Clustering consists of grouping objects of similar categories. The initial centroids
influence operation of the system with the potential to become trapped in local optima. The …
influence operation of the system with the potential to become trapped in local optima. The …
Brazilian Forest Dataset: A new dataset to model local biodiversity
ABSTRACT The Intergovernmental Panel on Climate Change and the Intergovernmental
Science-Policy Platform on Biodiversity and Ecosystem Services have emphasised …
Science-Policy Platform on Biodiversity and Ecosystem Services have emphasised …
[PDF][PDF] Research Article The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of Classification
J Atwan, M Wedyan, Q Bsoul, A Hammadeen, R Alturki - 2021 - academia.edu
Research Article The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of
Classification Page 1 Research Article The Use of Stemming in the Arabic Text and Its Impact …
Classification Page 1 Research Article The Use of Stemming in the Arabic Text and Its Impact …
[PDF][PDF] AN EFFICIENT INDEXING AND RETRIEVAL OF IRIS BIOMETRICS DATA USING HYBRID TRANSFORM AND FIREFLY BASED K-MEANS ALGORITHM TITLE
ET KHALAF - core.ac.uk
The explosive increase in the number of biometric images saved in most databases has
made image indexing mandatory. These processes could influence the speed of data …
made image indexing mandatory. These processes could influence the speed of data …
What is modern standard Arabic NLP? Definition and tools (or how to understand Arabic even if you do not know a word)
M Serrano Morales - 2017 - repositori.upf.edu
In the last few years, there has been an increase of the interest on Modern Standard Arabic.
There is where computational linguistics fits in. This paper analyses the intersection …
There is where computational linguistics fits in. This paper analyses the intersection …