TRSAv1: a new benchmark dataset for classifying user reviews on Turkish e-commerce websites
The amount of data produced significantly increased with the development of Internet
technologies. Accordingly, the importance of natural language processing studies …
technologies. Accordingly, the importance of natural language processing studies …
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 …
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 …
Natural Language Processing and Machine Learning Applications For Assessment and Evaluation in Education: Opportunities and New Approaches
K Yılmaz, KZ Deniz - Journal of Measurement and Evaluation in …, 2024 - dergipark.org.tr
This study examines the applications of Artificial Intelligence (AI), Machine Learning (ML)
and Natural Language Processing (NLP) technologies in education, particularly in …
and Natural Language Processing (NLP) technologies in education, particularly in …
Comparison of transformer-based models trained in Turkish and different languages on Turkish natural language processing problems
Transformer-based pre-trained language models have yielded successful results in natural
language processing (NLP) problems in recent years. In these approaches, the models are …
language processing (NLP) problems in recent years. In these approaches, the models are …
An assessment of nature-inspired algorithms for text feature selection
Ö Çoban - Computer Science, 2022 - journals.agh.edu.pl
This paper provides a comprehensive assessment of feature selection (FS) methods that are
originated from nature-inspired (NI) meta-heuristics, where two well-known filter-based FS …
originated from nature-inspired (NI) meta-heuristics, where two well-known filter-based FS …
Use of different variants of item response theory-based feature selection method for text categorization
O Coban - 2022 International Conference on Theoretical and …, 2022 - ieeexplore.ieee.org
In this study, we investigate the performance of the item response theory (IRT)-based feature
selection (FS) approach on eight text datasets considering different feature sets and …
selection (FS) approach on eight text datasets considering different feature sets and …
Comparison the performance of text clustering methods in different languages
ZMK Al-Abbasi - 2023 - openaccess.altinbas.edu.tr
Recently, Several text data have been available on the internet, which takes a lot of time to
read. Clustering techniques were widely used to analyze many unstructured text data and …
read. Clustering techniques were widely used to analyze many unstructured text data and …
Clasificación automática de correos electrónicos
JM Fernández - 2023 - sedici.unlp.edu.ar
En la actualidad se generan millones de datos cada día y su aprovechamiento e
interpretación se han vuelto fundamentales en todos los ámbitos. Sin embargo, la mayor …
interpretación se han vuelto fundamentales en todos los ámbitos. Sin embargo, la mayor …