Text categorization: past and present
Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …
defined text categories using some machine learning algorithms. Normally, it defines the …
Rule‐Based Classification Based on Ant Colony Optimization: A Comprehensive Review
The Ant Colony Optimization (ACO) algorithms have been well‐studied by the Operations
Research community for solving combinatorial optimization problems. A handful of …
Research community for solving combinatorial optimization problems. A handful of …
Integrating associative rule-based classification with Naïve Bayes for text classification
Associative classification (AC) integrates the task of mining association rules with the
classification task to increase the efficiency of the classification process. AC algorithms …
classification task to increase the efficiency of the classification process. AC algorithms …
Political Arabic articles orientation using rough set theory with sentiment lexicon
Sentiment analysis is an emerging research field that can be integrated with other domains,
including data mining, natural language processing and machine learning. In political …
including data mining, natural language processing and machine learning. In political …
[HTML][HTML] Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
The Covid-19 pandemic has led to an increase in the awareness of and demand for
telemedicine services, resulting in a need for automating the process and relying on …
telemedicine services, resulting in a need for automating the process and relying on …
Political Arabic articles classification based on machine learning and hybrid vector
Recently, there was substantial growth in the opinion data and the number of weblogs in the
world wide web (WWW). The capability for automatically determining an article's political …
world wide web (WWW). The capability for automatically determining an article's political …
An Arabic text categorization approach using term weighting and multiple reducts
QA Al-Radaideh, MA Al-Abrat - Soft Computing, 2019 - Springer
Text categorization is the process of assigning a predefined category label to an unlabeled
document based on its content. One of the challenges of automatic text categorization is the …
document based on its content. One of the challenges of automatic text categorization is the …
A proposal for an approach to mapping susceptibility to landslides using natural language processing and machine learning
SG Rodrigues, MM Silva, MH Alencar - Landslides, 2021 - Springer
Compiling an inventory is a fundamental step for carrying out assessments of landslide
hazards. However, data in sufficient quantity and quality are not always available. Thus, this …
hazards. However, data in sufficient quantity and quality are not always available. Thus, this …
Classification of Bangla text documents based on inverse class frequency
With the increasing availability of the textual content on the internet, automatic text
classification or text categorization analogously becomes a prime key in solving the problem …
classification or text categorization analogously becomes a prime key in solving the problem …
[HTML][HTML] Categorization of Arabic posts using Artificial Neural Network and hash features
Sentiment analysis is an important study topic with diverse application domains including
social network monitoring and automatic analysis of the body of natural language …
social network monitoring and automatic analysis of the body of natural language …