" I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

MU Haque, I Dharmadasa, ZT Sworna… - arXiv preprint arXiv …, 2022 - arxiv.org
Large language models have recently attracted significant attention due to their impressive
performance on a variety of tasks. ChatGPT developed by OpenAI is one such …

[PDF][PDF] Sentiment analysis of product reviews for e-commerce recommendation based on machine learning

M Loukili, F Messaoudi, M El Ghazi - International Journal of …, 2023 - researchgate.net
The volume of data which is freely available on the Internet in the field of e-marketing is
constantly increasing. Much of this data concerns consumers' perceptions and opinions of …

Lifelong training approaches for the post-pandemic workforces: A systematic review

A Patino, N Naffi - International Journal of Lifelong Education, 2023 - Taylor & Francis
This systematic review presents a comprehensive analysis of the existing literature
examining training approaches and resources intended for workforce development in …

Application of public emotion feature extraction algorithm based on social media communication in public opinion analysis of natural disasters

S Li, X Sun - PeerJ Computer Science, 2023 - peerj.com
Natural disasters are usually sudden and unpredictable, so it is too difficult to infer them.
Reducing the impact of sudden natural disasters on the economy and society is a very …

Future-proofing ecological knowledge management practices in the workplace: Lessons from the pandemic

M Tanpoco, W Cordova - E3S Web of Conferences, 2023 - e3s-conferences.org
The COVID-19 pandemic compelled businesses to adopt effective ecological knowledge
management strategies to navigate the ensuing difficulties brought about by changing work …

[PDF][PDF] Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) for predicting the kinematic viscosity and density of biodiesel-petroleum …

Y Kassem, H Çamur, KE Bennur - American Journal of Computer …, 2018 - researchgate.net
Biodiesel is considered as an alternative source of energy obtained from renewable
materials. In the present paper, the investigation of the applicability of adaptive neuro-fuzzy …

[PDF][PDF] Artificial Corona algorithm to solve multi-objective programming problems

AY Gebreel - American Journal of Artificial Intelligence, 2022 - researchgate.net
Multi-objective optimization is a branch of mathematics used in a large range of applications.
It deals with optimization problems involving two or more conflicting objective functions to be …

[PDF][PDF] An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

AM John-Otumu, M Rahman… - American Journal of …, 2021 - researchgate.net
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …

Model Kerja Hybrid: Sejarah, Tantangan dan Prospek

VH Utami - 2023 - repository.unissula.ac.id
Model kerja dalam setiap organisasi memiliki banyak variasi. Awal mula model kerja
tradisional (di kantor) diterapkan semua organisasi. Namun dengan perkembangan ilmu …

AGD-Autoencoder: attention gated deep convolutional autoencoder for brain tumor segmentation

T Cvetko - arXiv preprint arXiv:2107.03323, 2021 - arxiv.org
Brain tumor segmentation is a challenging problem in medical image analysis. The endpoint
is to generate the salient masks that accurately identify brain tumor regions in an fMRI …