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 …
A review of state art of text classification algorithms
A Bhavani, BS Kumar - 2021 5th international conference on …, 2021 - ieeexplore.ieee.org
In the recent years, the categorization of text documents into predefined classifications has
perceived a growing interest due to the growing of documents in digital form and needs to …
perceived a growing interest due to the growing of documents in digital form and needs to …
Average weighted objective distance-based method for type 2 diabetes prediction
P Nuankaew, S Chaising, P Temdee - IEEE Access, 2021 - ieeexplore.ieee.org
Early detection of Type 2 diabetes is necessary for its prevention. The prediction models for
detection systems normally employ common factors that may not properly fit all persons …
detection systems normally employ common factors that may not properly fit all persons …
Bangla documents classification using transformer based deep learning models
Document classification or categorization assign documents to a predefined domain
category. The improvement of document classification techniques has been noticeable …
category. The improvement of document classification techniques has been noticeable …
A robust classification approach to enhance clinic identification from Arabic health text
Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …
in locating specialized clinics based on their symptom descriptions. This can enhance …
Bangla document classification using character level deep learning
Last few decades, the availability and accessibility of the Bangla document and its content
have rapidly increased due to the rapid technological advancement. Intense research needs …
have rapidly increased due to the rapid technological advancement. Intense research needs …
Bangla document categorisation using multilayer dense neural network with tf-idf
M Chakraborty, MN Huda - 2019 1st International Conference …, 2019 - ieeexplore.ieee.org
Document categorization is a classic NLP task which includes allocating documents based
on their content into one or more predefined classes. In this paper, we proposed a model …
on their content into one or more predefined classes. In this paper, we proposed a model …
A dictionary based model for bengali document classification
Computer-aided documented content analysis is a prominent research area in natural
language processing. A realistic implementation of this task is related to the subjectivity of …
language processing. A realistic implementation of this task is related to the subjectivity of …
Performance of classifiers in bangla text categorization
A Dhar, H Mukherjee, NS Dash… - … on Innovations in …, 2018 - ieeexplore.ieee.org
Automated text categorization or text classification has become an important text mining task
especially with the speedy development and increase of the number of on-line documents …
especially with the speedy development and increase of the number of on-line documents …
Bnnet: A deep neural network for the identification of satire and fake bangla news
Misleading and fake news in rapidly increasing online news portals in Bangladesh has
become a major concern to both the government and public lately, as a substantial amount …
become a major concern to both the government and public lately, as a substantial amount …