Integrating deep learning with machine learning: technological approaches, methodologies, applications, opportunities, and challenges

N Rane, S Choudhary, J Rane - Available at SSRN 4850000, 2024 - papers.ssrn.com
The field of artificial intelligence (AI) has seen tremendous advancements, particularly in
machine learning (ML) and deep learning (DL) technologies. This research paper …

Profiling the news spreading barriers using news headlines

A Sittar, D Mladenic, M Grobelnik - arXiv preprint arXiv:2304.11088, 2023 - arxiv.org
News headlines can be a good data source for detecting the news spreading barriers in
news media, which may be useful in many real-world applications. In this paper, we utilize …

[HTML][HTML] Sentiment analysis as a complementing tool to corporate sustainability assessment: An explorative study

L Johansson - 2022 - diva-portal.org
Companies play an important role in the process of sustainable development, and thus
investors have increased their focus on companies' sustainability-related activities. These …

Question Answering For Sumedang Larang Kingdom Using The Multilayer Perceptron Algorithm

AN Hasanah, A Baizal… - JIPI (Jurnal …, 2022 - jurnal.stkippgritulungagung.ac.id
In Indonesia, there were many kingdoms in the past, one of which was the Sumedang
Larang Kingdom. Sumedang Larang is an Islamic kingdom under the control of the …

Sentiment Analysis of Office Automation Application in One of Indonesian Ministries

D Fransisca, I Sulistyowati, I Budi… - … on Informatics and …, 2021 - ieeexplore.ieee.org
The Office Automation application is a common application in one of the ministries in
Indonesia that contains features of correspondence management, task management …

Sentiment Analysis with Soft-Voting Method on Customer Reviews for Purchasing Transactions of E-Commerce

AA Ilham - 2023 IEEE International Conference on Industry …, 2023 - ieeexplore.ieee.org
The accuracy of customer reviews is crucial for an e-commerce platform to assist buyers in
selecting high-quality products from a vast array of options. This research aims to develop a …

[PDF][PDF] Convolutional Neural Network Multi-Emotion Classifiers

SS Ibrahiem, SS Ismail… - Jordanian Journal of …, 2019 - pdfs.semanticscholar.org
Natural languages are universal and flexible, but cannot exist without ambiguity. Having
more than one attitude and meaning in the same phrase context is the main cause for word …

Identification of Texts Using ML Algorithm for The Accurate Recognition

MJ Pasha, K Kajendran, S Deshmukh… - … on Power Energy …, 2023 - ieeexplore.ieee.org
A Comparative evaluation of device mastering Algorithms for textual content classification
textual content category is an vital assignment in herbal language processing, where the …

A Functional All‐Hazard Approach to Critical Infrastructure Dependency Analysis

R Hruska, K McGillivary, R Edsall - Journal of Critical …, 2021 - Wiley Online Library
The critical infrastructures protection landscape is a vast and varied pattern of independent,
but interconnected infrastructure systems that are essential to the function of our modern …

Question Classification from Thai Sentences by Considering Word Context to Question Generation

S Chotirat, P Meesad, H Unger - 2022 Research, Invention …, 2022 - ieeexplore.ieee.org
The potential of automated question generation is role play in the multi-fields and multi-
applications such as question and answering systems, examination systems, and …