A hybrid CNN+ BILSTM deep learning-based DSS for efficient prediction of judicial case decisions
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 …
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 …
impossible to moderate content manually. Thanks to the different existing techniques in …
Diagnosis of cardiovascular disease using deep learning technique
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 …
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
Sentiment analysis plays a key role in companies, especially stores, and increasing the
accuracy in determining customers' opinions about products assists to maintain their …
accuracy in determining customers' opinions about products assists to maintain their …
A Dataset for Explainable Sentiment Analysis in the German Automotive Industry
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 …
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RETRACTED ARTICLE: Integrated CNN-and LSTM-DNN-based sentiment analysis over big social data for opinion mining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 …
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 …
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 …
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 …
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
The rapid advancements of Artificial Intelligence (AI) technologies, particularly Large
Language Models (LLMs), have brought and accelerated significant innovations across …
Language Models (LLMs), have brought and accelerated significant innovations across …