An associative rule-based classifier for Arabic medical text

QA Al-Radaideh, SS Al-Khateeb - International Journal of …, 2015 - inderscienceonline.com
Text classification is one of the methods used for managing, organising and retrieving the
needed data among the huge available text. Several methods have been proposed to …

Improve the prediction accuracy of Naïve Bayes classifier with association rule mining

T Yang, K Qian, DCT Lo, Y Xie, Y Shi… - 2016 IEEE 2nd …, 2016 - ieeexplore.ieee.org
Nowadays, big data contains infinite business opportunities. Companies begin to analyze
their data to predict their potential customers and business decisions using Naïve Bayes …

Text classification using data mining

SM Kamruzzaman, F Haider, AR Hasan - arXiv preprint arXiv:1009.4987, 2010 - arxiv.org
Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …

[PDF][PDF] Text classification in data mining

A Purohit, D Atre, P Jaswani, P Asawara - International Journal of …, 2015 - Citeseer
Text classification is the process of classifying documents into predefined categories based
on their content. Text classification is the primary requirement of text retrieval systems, which …

Implementation of text mining model to emotions detection on social media comments using particle swarm optimization and naive bayes classifier

E Junianto, R Rachman - … Conference on Cyber and IT Service …, 2019 - ieeexplore.ieee.org
Emotion is defined as human beings' psychological state in which it is also used to establish
a relationship and convey messages between the author and the readers. The lifestyle that …

[HTML][HTML] A semi-supervised associative classification method for POS tagging

P Rani, V Pudi, DM Sharma - International Journal of Data Science and …, 2016 - Springer
We present here a data mining approach for part-of-speech (POS) tagging, an important
natural language processing (NLP) task, which is a classification problem. We propose a …

Text Classification Using FP-Growth Association Rule and Updating the Term Weight

SK Vishwakarma, AK Sharma, SS Verma… - Innovations in Information …, 2021 - Springer
Text classification plays a vital role in many real-life applications. There are different
methods for text classification primarily Naive Bayes classifier, support vector machine, etc …

Autonomous decentralized semantic-based architecture for dynamic content classification

K Mahmood, A Raza, M Krishnamurthy… - IEICE Transactions on …, 2016 - search.ieice.org
The growing trends in Internet usage for data and knowledge sharing calls for dynamic
classification of web contents, particularly at the edges of the Internet. Rather than …

Population-based metaheuristics for association rule text mining

I Fister Jr, S Deb, I Fister - Proceedings of the 2020 4th International …, 2020 - dl.acm.org
Nowadays, the majority of data on the Internet is held in an unstructured format, like
websites and e-mails. The importance of analyzing these data has been growing day by …

Classification of Science, Technology and Medicine (STM) Domains with PSO and NBC

E Junianto, MN Shobary, R Rachman… - … on Cyber and IT …, 2018 - ieeexplore.ieee.org
Science, Technology, and Medicine (STM) is a field of research that has a characteristic in
each document. These characteristics are different from most documents that are used as a …