Arabic text classification using deep learning models
Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …
document with most relevant labels or categories. When the number of labels is restricted to …
[HTML][HTML] Text categorization with WEKA: A survey
D Merlini, M Rossini - Machine Learning with Applications, 2021 - Elsevier
This work shows the use of WEKA, a tool that implements the most common machine
learning algorithms, to perform a Text Mining analysis on a set of documents. Applying these …
learning algorithms, to perform a Text Mining analysis on a set of documents. Applying these …
[HTML][HTML] Detecting abusive comments at a fine-grained level in a low-resource language
BR Chakravarthi, R Priyadharshini, S Banerjee… - Natural Language …, 2023 - Elsevier
YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …
share videos for their followers to view, like, and comment on. Abusive comments on videos …
Arabic text classification: the need for multi-labeling systems
H El Rifai, L Al Qadi, A Elnagar - Neural Computing and Applications, 2022 - Springer
The process of tagging a given text or document with suitable labels is known as text
categorization or classification. The aim of this work is to automatically tag a news article …
categorization or classification. The aim of this work is to automatically tag a news article …
[HTML][HTML] Contextual semantic embeddings based on fine-tuned AraBERT model for Arabic text multi-class categorization
Despite that pre-trained word embedding models have advanced a wide range of natural
language processing applications, they ignore the contextual information and meaning …
language processing applications, they ignore the contextual information and meaning …
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 …
A study of the effects of stemming strategies on arabic document classification
Stemming is one of the most effective techniques, which has been adopted in many
applications, such as machine learning, machine translation, document classification (DC) …
applications, such as machine learning, machine translation, document classification (DC) …
[HTML][HTML] Sanad: Single-label arabic news articles dataset for automatic text categorization
Text Classification is one of the most popular Natural Language Processing (NLP) tasks.
Text classification (aka categorization) is an active research topic in recent years. However …
Text classification (aka categorization) is an active research topic in recent years. However …
Feature selection method using improved CHI Square on Arabic text classifiers: analysis and application
HN Alshaer, MA Otair, L Abualigah… - Multimedia Tools and …, 2021 - Springer
Text classification could be defined as the way of allocating text into predefined groups
according to its contents. Over the past few years, an increase emerged in the volume of …
according to its contents. Over the past few years, an increase emerged in the volume of …
TTC-3600: A new benchmark dataset for Turkish text categorization
Owing to the rapid growth of the World Wide Web, the number of documents that can be
accessed via the Internet explosively increases with each passing day. Considering news …
accessed via the Internet explosively increases with each passing day. Considering news …