A hybrid CNN+ BILSTM deep learning-based DSS for efficient prediction of judicial case decisions

S Ahmad, MZ Asghar, FM Alotaibi… - Expert Systems with …, 2022 - Elsevier
A gradual increase in the historical data available in the legal domain over the years has
compelled industry experts to collect, assemble, and analyze this data to predict judicial …

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT

JA Benítez-Andrades, Á González-Jiménez… - PeerJ Computer …, 2022 - peerj.com
With the growth that social networks have experienced in recent years, it is entirely
impossible to moderate content manually. Thanks to the different existing techniques in …

Diagnosis of cardiovascular disease using deep learning technique

S Ahmad, MZ Asghar, FM Alotaibi, YD Alotaibi - Soft Computing, 2023 - Springer
Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …

Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings

S Shumaly, M Yazdinejad, Y Guo - PeerJ Computer Science, 2021 - peerj.com
Sentiment analysis plays a key role in companies, especially stores, and increasing the
accuracy in determining customers' opinions about products assists to maintain their …

A Dataset for Explainable Sentiment Analysis in the German Automotive Industry

A Zielinski, C Spolwind, H Kroll… - Proceedings of the 13th …, 2023 - aclanthology.org
While deep learning models have greatly improved the performance of many tasks related to
sentiment analysis and classification, they are often criticized for being untrustworthy due to …

RETRACTED ARTICLE: Integrated CNN-and LSTM-DNN-based sentiment analysis over big social data for opinion mining

P Kaladevi, K Thyagarajah - Behaviour & Information Technology, 2021 - Taylor & Francis
We, the Editors and Publisher of the journal Behaviour & Information Technology, have
retracted the following article which was part of the Special Issue on Behaviour Monitoring …

The measurement of demographic temperature using the sentiment analysis of data from the social network VKontakte

IE Kalabikhina, EP Banin, IA Abduselimova… - Mathematics, 2021 - mdpi.com
Social networks have a huge potential for the reflection of public opinion, values, and
attitudes. In this study, the presented approach can allow to continuously measure how cold …

[PDF][PDF] Aspect Based Sentiment Analysis with FastText Feature Expansion and Support Vector Machine Method on Twitter

MA Raihan, EB Setiawan - Jurnal RESTI (Rekayasa Sistem dan …, 2022 - jurnal.iaii.or.id
Social media such as Twitter has now become very close to society. Twitter users can
express current issues, their opinions, product reviews, and many other things both positive …

[PDF][PDF] Hate Speech Detection Using Convolutional Neural Network and Gated Recurrent Unit with FastText Feature Expansion on Twitter

KU Wijaya, EB Setiawan - Jurnal Ilmiah Teknik Elektro Komputer …, 2023 - eprints.uad.ac.id
Twitter is a popular social media for sending text messages, but the tweets that can send are
limited to 280 characters. Therefore, sending tweets is done in various ways, such as slang …

[PDF][PDF] EXPLORING COMPRESSION STRATEGIES FOR LARGE LANGUAGE MODELS TOWARDS EFFICIENT ARTIFICIAL INTELLIGENCE IMPLEMENTATIONS

DM Petroşanu, A Pîrjan - Journal of Information Systems & Operations …, 2024 - rau.ro
The rapid advancements of Artificial Intelligence (AI) technologies, particularly Large
Language Models (LLMs), have brought and accelerated significant innovations across …