Improving automated Turkish text classification with learning‐based algorithms
Text classification is the process of determining categories or tags of a document depending
on its content. Although text classification is a well‐known process, it has many steps that …
on its content. Although text classification is a well‐known process, it has many steps that …
Tuning the Turkish text classification process using supervised machine learning-based algorithms
Ö Köksal - 2020 International Conference on INnovations in …, 2020 - ieeexplore.ieee.org
Text classification is the process of determining categories or tags of a document depending
on its content. Although it is a well-known process, it has many steps that require tuning to …
on its content. Although it is a well-known process, it has many steps that require tuning to …
Turkish text classification with machine learning and transfer learning
The problem of text classification is one of the most fundamental topics of study in the field of
natural language processing, but when reviewing the literature, it is seen that there is an …
natural language processing, but when reviewing the literature, it is seen that there is an …
Automatic keywords-based classification of vietnamese texts
Text classification is a sophisticated field of research in natural language processing that
deals with the problem of automatically classifying new documents into pre-defined classes …
deals with the problem of automatically classifying new documents into pre-defined classes …
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 …
Turkish text classification: from Lexicon analysis to bidirectional transformer
D Kavi - arXiv preprint arXiv:2104.11642, 2020 - arxiv.org
Text classification has seen an increased use in both academic and industry settings.
Though rule based methods have been fairly successful, supervised machine learning has …
Though rule based methods have been fairly successful, supervised machine learning has …
Text Classification: A Review, Empirical, and Experimental Evaluation
The explosive and widespread growth of data necessitates the use of text classification to
extract crucial information from vast amounts of data. Consequently, there has been a surge …
extract crucial information from vast amounts of data. Consequently, there has been a surge …
Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification
With the development of pre-trained models (PTMs), the performance of text classification
has been continuously improved by directly employing the features generated by PTMs …
has been continuously improved by directly employing the features generated by PTMs …
[PDF][PDF] Empirical studies on machine learning based text classification algorithms
SC Dharmadhikari, M Ingle, P Kulkarni - Advanced Computing, 2011 - academia.edu
Automatic classification of text documents has become an important research issue now
days. Proper classification of text documents requires information retrieval, machine learning …
days. Proper classification of text documents requires information retrieval, machine learning …
Comparative study on Arabic text classification: challenges and opportunities
MKB Melhem, L Abualigah, RA Zitar… - … Applications with Deep …, 2022 - Springer
There have been great improvements in web technology over the past years which heavily
loaded the Internet with various digital contents of different fields. This made finding certain …
loaded the Internet with various digital contents of different fields. This made finding certain …