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 …
The evaluation of word embedding models and deep learning algorithms for Turkish text classification
ZH Kilimci, S Akyokuş - 2019 4th International Conference on …, 2019 - ieeexplore.ieee.org
The use of word embedding models and deep learning algorithms are currently the most
common and popular trends to enhance the overall performance of a text classification …
common and popular trends to enhance the overall performance of a text classification …
[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 …
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 …
Experimental evaluation of deep learning models for marathi text classification
A Kulkarni, M Mandhane, M Likhitkar… - Proceedings of the 2nd …, 2022 - Springer
The Marathi language is one of the prominent languages used in India. It is predominantly
spoken by the people of Maharashtra. Over the past decade, the usage of language on …
spoken by the people of Maharashtra. Over the past decade, the usage of language on …
Text classification using neural network language model (nnlm) and bert: An empirical comparison
A Esmaeilzadeh, K Taghva - … and Applications: Proceedings of the 2021 …, 2022 - Springer
Text Classification is one of the most cited applications of Natural Language Processing.
Classification can save the cost of manual efforts and at the same time increase the …
Classification can save the cost of manual efforts and at the same time increase the …
Improving the accuracy using pre-trained word embeddings on deep neural networks for Turkish text classification
Today, extreme amounts of data are produced, and this is commonly referred to as Big Data.
A significant amount of big data is composed of textual data, and as such, text processing …
A significant amount of big data is composed of textual data, and as such, text processing …
Text classification of Arabic text: Deep learning in ANLP
Abstract Recently Natural Language Processing (NLP) has excessive attention due to
increased data available online and needs processing. Nevertheless, the huge …
increased data available online and needs processing. Nevertheless, the huge …
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 …
Persian text classification based on deep neural networks
MR Feizi-Derakhshi, Z Mottaghinia… - Soft Computing …, 2022 - scj.kashanu.ac.ir
Nowadays, according to the growing volume of electronic documents, the classification of
text has attracted the attention of information retrieval researchers. Considering the …
text has attracted the attention of information retrieval researchers. Considering the …