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 …
Document classification of SuDer Turkish news corpora
MU Sen, B Yanıkoğlu - 2018 26th Signal Processing and …, 2018 - ieeexplore.ieee.org
Word embeddings are successfully employed in various Natural Language Processing
tasks, but training them requires large amount of text, which is scarce for Turkish. In this …
tasks, but training them requires large amount of text, which is scarce for Turkish. In this …
Hindi text classification: A review
M Mehta, U Pandey, Y Chaudhary… - … on advances in …, 2021 - ieeexplore.ieee.org
In recent years, Natural Language Processing (NLP) and text analysis has been a topic of
great interest among researchers. The utilization of deep learning techniques such as LSTM …
great interest among researchers. The utilization of deep learning techniques such as LSTM …
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 …
Sequential models for text classification using recurrent neural network
Neural network-based applications are recently shown promising results for text
classification. However, it is still challenging for the model to contemplate local features and …
classification. However, it is still challenging for the model to contemplate local features and …
Multi-class classification of turkish texts with machine learning algorithms
F Gürcan - 2018 2nd International Symposium on …, 2018 - ieeexplore.ieee.org
The problem of text classification is the process of supervised assignment of text documents
to one or more predefined categories or classes according to the content of the processed …
to one or more predefined categories or classes according to the content of the processed …
[PDF][PDF] The accuracy comparison among word2vec, glove, and fasttext towards convolution neural network (cnn) text classification
Feature extraction in the field of Text Processing or Natural Language Processing (NLP) has
its own challenges due to the characteristics of unstructured text. Thus, the selection of the …
its own challenges due to the characteristics of unstructured text. Thus, the selection of the …
Text classification using deep learning: A survey
S Bhawsar, S Dubey, S Kushwaha… - … of International Conference …, 2022 - Springer
In this paper, we have briefly reviewed the previous paper in this domain. The paper
presents some of the state-of-the-art text classification techniques. We have discussed some …
presents some of the state-of-the-art text classification techniques. We have discussed some …
The impact of preprocessing on classification performance in convolutional neural networks for Turkish text
The increase of text based content produced in electronic environment necessitated to
classify these contents with advanced algorithms. For text classification, the text contents are …
classify these contents with advanced algorithms. For text classification, the text contents are …
Document classification by using hybrid deep learning approach
BT Hung - Context-Aware Systems and Applications, and Nature …, 2019 - Springer
Text classification is an essential component in a variety of applications of natural language
processing. While the deep learning-based approach is becoming more popular, using …
processing. While the deep learning-based approach is becoming more popular, using …