Cnn vs. lstm for turkish text classification
M Yayla, MD Demirkol… - … Conference on INnovations …, 2021 - ieeexplore.ieee.org
In this paper, the efficiency of two states of the art text classification techniques, ie,
Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for supporting …
Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for supporting …
[PDF][PDF] Comparative analysis of deep learning and traditional machine learning models for Turkish text classification
Doc2vec, the Turkish Text Classification 3600 (TTC-3600) dataset consisting of Turkish
news texts was classified based on deep learning. Most commonly used classifiers were …
news texts was classified based on deep learning. Most commonly used classifiers were …
Experimental Evaluation for Text Classification using Improved Deep Learning Models
BK Chowdary - 2022 4th International Conference on Advances …, 2022 - ieeexplore.ieee.org
Language use on online platforms has dramatically expanded over the last ten years.
Turkish text natural language processing (NLP) research, however, has not gotten much …
Turkish text natural language processing (NLP) research, however, has not gotten much …
Pretrained neural models for turkish text classification
In the text classification process, which is a sub-task of NLP, the preprocessing and indexing
of the text has a direct determining effect on the performance for NLP models. When the …
of the text has a direct determining effect on the performance for NLP models. When the …
A study on a joint deep learning model for myanmar text classification
MS Phyu, KT Nwet - 2020 IEEE Conference on Computer …, 2020 - ieeexplore.ieee.org
Text classification is one of the most critical areas of research in the field of natural language
processing (NLP). Recently, most of the NLP tasks achieve remarkable performance by …
processing (NLP). Recently, most of the NLP tasks achieve remarkable performance by …
Text classification using long short-term memory
Text classification usually has the basic problem of presenting data with very high
dimension, so that the model formed is usually hampered because (1) training time …
dimension, so that the model formed is usually hampered because (1) training time …
An automated new approach in fast text classification (fastText) A case study for Turkish text classification without pre-processing
Any Text Classification (TC) problem need pre-processing steps which may affect the
classification accuracy. Especially pre-processing steps need substantial effort particularly in …
classification accuracy. Especially pre-processing steps need substantial effort particularly in …
Research on text classification based on convolutional neural network
P Song, C Geng, Z Li - 2019 International conference on …, 2019 - ieeexplore.ieee.org
Text classification is one of the research hotspots in the field of Natural Language
Processing (NLP). In this paper, TextCNN model based on Convolutional Neural Network …
Processing (NLP). In this paper, TextCNN model based on Convolutional Neural Network …
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 …
A comparative text classification study with deep learning-based algorithms
Ö Köksal, Ö Akgül - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
As a well-known Natural Language Processing (NLP) task, text classification can be defined
as the process of categorizing documents depending on their content. In this process …
as the process of categorizing documents depending on their content. In this process …