An introduction to deep learning in natural language processing: Models, techniques, and tools
Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that
involves the design and implementation of systems and algorithms able to interact through …
involves the design and implementation of systems and algorithms able to interact through …
Language representation models: An overview
T Schomacker, M Tropmann-Frick - Entropy, 2021 - mdpi.com
In the last few decades, text mining has been used to extract knowledge from free texts.
Applying neural networks and deep learning to natural language processing (NLP) tasks …
Applying neural networks and deep learning to natural language processing (NLP) tasks …
An unsupervised method for social network spammer detection based on user information interests
Abstract Online Social Networks (OSNs) are a popular platform for communication and
collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one …
collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one …
Large-scale photonic natural language processing
C M. Valensise, I Grecco, D Pierangeli… - Photonics Research, 2022 - opg.optica.org
Modern machine-learning applications require huge artificial networks demanding
computational power and memory. Light-based platforms promise ultrafast and energy …
computational power and memory. Light-based platforms promise ultrafast and energy …
Characterisation of COVID-19-related tweets in the Croatian language: framework based on the Cro-CoV-cseBERT model
This study aims to provide insights into the COVID-19-related communication on Twitter in
the Republic of Croatia. For that purpose, we developed an NL-based framework that …
the Republic of Croatia. For that purpose, we developed an NL-based framework that …
Duplicate bug report detection by using sentence embedding and fine-tuning
H Isotani, H Washizaki, Y Fukazawa… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Industrial software maintenance devotes much time and effort to find duplicate bug reports.
In this paper, we propose an automated duplicate bug report detection system to improve …
In this paper, we propose an automated duplicate bug report detection system to improve …
Learned text representation for Amharic information retrieval and natural language processing
Over the past few years, word embeddings and bidirectional encoder representations from
transformers (BERT) models have brought better solutions to learning text representations …
transformers (BERT) models have brought better solutions to learning text representations …
Character gated recurrent neural networks for Arabic sentiment analysis
Sentiment analysis is a Natural Language Processing (NLP) task concerned with opinions,
attitudes, emotions, and feelings. It applies NLP techniques for identifying and detecting …
attitudes, emotions, and feelings. It applies NLP techniques for identifying and detecting …
The Text-package: An R-package for Analyzing and Visualizing Human Language Using Natural Language Processing and Deep Learning
The language that individuals use for expressing themselves contains rich psychological
information. Recent significant advances in Natural Language Processing (NLP) and Deep …
information. Recent significant advances in Natural Language Processing (NLP) and Deep …
Classification of scientific documents in the Kazakh language using deep neural networks and a fusion of images and text
A Bogdanchikov, D Ayazbayev, I Varlamis - Big Data and Cognitive …, 2022 - mdpi.com
The rapid development of natural language processing and deep learning techniques has
boosted the performance of related algorithms in several linguistic and text mining tasks …
boosted the performance of related algorithms in several linguistic and text mining tasks …