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 …
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 …
Data augmentation and semi-supervised learning for deep neural networks-based text classifier
User feedback is essential for understanding user needs. In this paper, we use free-text
obtained from a survey on sleep-related issues to build a deep neural networks-based text …
obtained from a survey on sleep-related issues to build a deep neural networks-based text …
Deep Learning Based Text Classification Methods
Z Wang - Highlights in Science, Engineering and Technology, 2023 - drpress.org
Text classification tasks are indispensable in natural language processing. With the
development of Internet technology, the way people transmit information has changed from …
development of Internet technology, the way people transmit information has changed from …
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 …
Text Classification: A Perspective of Deep Learning Methods
Z Wan - arXiv preprint arXiv:2309.13761, 2023 - arxiv.org
In recent years, with the rapid development of information on the Internet, the number of
complex texts and documents has increased exponentially, which requires a deeper …
complex texts and documents has increased exponentially, which requires a deeper …
A text classification model base on region embedding and lstm
Y Li, M Ye - Proceedings of the 2020 6th International Conference …, 2020 - dl.acm.org
In the field of natural language processing, recurrent neural networks are good at capturing
long-range dependent information and can effectively complete text classification tasks …
long-range dependent information and can effectively complete text classification tasks …
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 …
Improving text classification with weighted word embeddings via a multi-channel TextCNN model
In recent years, convolutional neural networks (CNNs) have gained considerable attention
in text classification because of the remarkable good performance they achieved in various …
in text classification because of the remarkable good performance they achieved in various …
Deep learning techniques for text classification
D Raihan - 2021 - dr.ntu.edu.sg
This dissertation presents a series of experiments in applying deep learning techniques for
text classification. The experiment will evaluate the performance of some popular deep …
text classification. The experiment will evaluate the performance of some popular deep …