Arabic text classification methods: Systematic literature review of primary studies
W Alabbas, HM Al-Khateeb… - 2016 4th IEEE …, 2016 - ieeexplore.ieee.org
Recent research on Big Data proposed and evaluated a number of advanced techniques to
gain meaningful information from the complex and large volume of data available on the …
gain meaningful information from the complex and large volume of data available on the …
Arabic topic identification based on empirical studies of topic models
This paper focuses on the topic identification for the Arabic language based on topic models.
We study the Latent Dirichlet Allocation (LDA) as an unsupervised method for the Arabic …
We study the Latent Dirichlet Allocation (LDA) as an unsupervised method for the Arabic …
Out of vocabulary word detection and recovery in Arabic handwritten text recognition
Abstract Today's Arabic Handwriting recognition systems are able to recognize arbitrary
words over a large but finite vocabulary. Systems operating with a fixed vocabulary are …
words over a large but finite vocabulary. Systems operating with a fixed vocabulary are …
Feature Selection as a Hedonic Coalition Formation Game for Arabic Topic Detection
Arabic topic detection is a Natural Language Processing (NLP) task that aims to assign a
topic or a set of topics to a new document based on its content and selected features …
topic or a set of topics to a new document based on its content and selected features …
A contribution to Arabic named entity recognition
R Koulali, A Meziane - 2012 Tenth International Conference on …, 2012 - ieeexplore.ieee.org
Named Entity Recognition (NER) is a clue task for improving the automatic text processing,
required in a wide variety of applications. NER techniques range from hand-crafted rules to …
required in a wide variety of applications. NER techniques range from hand-crafted rules to …
Topic detection and multi-word terms extraction for Arabic unvowelized documents
R Koulali, A Meziane - … 7th Asia Information Retrieval Societies Conference …, 2011 - Springer
This paper focuses on Topic Detection (TD) for Arabic Unvowelized documents. Our topic
detection system was implemented using two different metrics: adapted TF-IDF and Jaccard …
detection system was implemented using two different metrics: adapted TF-IDF and Jaccard …
Neural Text Categorizer for topic identification of noisy Arabic Texts
This paper deals with the topic identification problem, which consists of recognizing the
subject in which the text is written. Despite there exist several statistical and machine …
subject in which the text is written. Despite there exist several statistical and machine …
[PDF][PDF] Semantic extraction of Arabic multiword expressions
S Meghawry, A Elkorany, A Salah… - Computer Science & …, 2015 - academia.edu
ABSTRACT A considerable interest has been given to Multiword Expression (MWEs)
identification and treatment. The identification of MWEs affects the quality of results of …
identification and treatment. The identification of MWEs affects the quality of results of …
[HTML][HTML] A comparative study on text representation models for topic detection in arabic
R Koulali, A Meziane - Computación y Sistemas, 2019 - scielo.org.mx
Topic Detection (TD) plays a major role in Natural Language Processing (NLP). Its
applications range from Question Answering to Speech Recognition. In order to correctly …
applications range from Question Answering to Speech Recognition. In order to correctly …
An approach for textual based clustering using word embedding
Numerous endeavors have been made to improve the retrieval procedure in Textual Case-
Based Reasoning (TCBR) utilizing clustering and feature selection strategies …
Based Reasoning (TCBR) utilizing clustering and feature selection strategies …