CVs Classification Using Neural Network Approaches Combined with BERT and Gensim: CVs of Moroccan Engineering Students
Deep learning (DL)-oriented document processing is widely used in different fields for
extraction, recognition, and classification processes from raw corpus of data. The article …
extraction, recognition, and classification processes from raw corpus of data. The article …
On the effectiveness of paragraph vector models in document similarity estimation for Turkish news categorization
A Yürekli - Eskişehir Technical University Journal of Science and …, 2023 - dergipark.org.tr
News categorization, which is a common application area of text classification, is the task of
automatic annotation of news articles with predefined categories. In parallel with the rise of …
automatic annotation of news articles with predefined categories. In parallel with the rise of …
Text classification using machine learning techniques: comparative analysis
Sharing short reviews on Social Networking Sites has contributed to rising textual data. For
this short review text, needed a text classification model to identify short texts, organize them …
this short review text, needed a text classification model to identify short texts, organize them …
Traditional machine learning and deep learning-based text classification for turkish law documents using transformers and domain adaptation
Natural Language Processing (NLP) is an interdisciplinary field between linguistics and
computer science. Its main aim is to process natural (human) language using computer …
computer science. Its main aim is to process natural (human) language using computer …
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 …
Turkish document classification based on Word2Vec and SVM classifier
G Şahİn - 2017 25th signal processing and communications …, 2017 - ieeexplore.ieee.org
In this study, Turkish texts belonging to different categories were classified by using
word2vec word vectors. Firstly, vectors of the words in all the texts were extracted then, each …
word2vec word vectors. Firstly, vectors of the words in all the texts were extracted then, each …
Application of deep learning techniques on document classification
Automatic assignment of documents into some of the categories is highly required for
analysing the content of the documents. Thus, document classification plays a significant …
analysing the content of the documents. Thus, document classification plays a significant …
Performance analysis of machine learning and deep learning models for text classification
CM Suneera, J Prakash - 2020 IEEE 17th India council …, 2020 - ieeexplore.ieee.org
Text classification is the task of forming semantic groups of text documents by assigning
predefined class labels. It has wide range of real-life applications in various domains such …
predefined class labels. It has wide range of real-life applications in various domains such …
Bangla documents classification using transformer based deep learning models
Document classification or categorization assign documents to a predefined domain
category. The improvement of document classification techniques has been noticeable …
category. The improvement of document classification techniques has been noticeable …
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 …