The public health contribution of sentiment analysis of Monkeypox tweets to detect polarities using the CNN-LSTM model

O Iparraguirre-Villanueva, A Alvarez-Risco… - Vaccines, 2023 - mdpi.com
Monkeypox is a rare disease caused by the monkeypox virus. This disease was considered
eradicated in 1980 and was believed to affect rodents and not humans. However, recent …

Text prediction recurrent neural networks using long shortterm memory-dropout

O Iparraguirre-Villanueva, V Guevara-Ponce… - 2023 - repositorio.autonoma.edu.pe
Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose
sequence-based models are being used in text generation and/or prediction tasks, question …

[PDF][PDF] Automated decision classification model for tax appeals commission in Morocco using latent dirichlet allocation

S Aouichaty, Y Maleh, A Hajami… - Indonesian Journal of …, 2023 - researchgate.net
This research paper focuses on extracting and classifying information from the Moroccan
National Tax Appeals Commission, which is presently nonexistent in the country's legal and …

Supplementing Sensitive Survey Data by Leveraging Social Listening with Machine Learning Models

HK Smalley, JW Orr - 2023 Big Data Meets Survey Science …, 2023 - ieeexplore.ieee.org
In December 2017, the US Department of Justice requested the reinstatement of the
citizenship question on the 2020 Decennial Census questionnaire; however, perceptions of …

Search and classify topics in a corpus of text using the latent dirichlet allocation model

O Iparraguirre-Villanueva, F Sierra-Liñan… - 2023 - repositorio.autonoma.edu.pe
This work aims at discovering topics in a text corpus and classifying the most relevant terms
for each of the discovered topics. The process was performed in four steps: first, document …

Sentiment Analysis of YouTube Comments Toward Chat GPT

TH Rochadiani - Jurnal Transformatika, 2023 - journals.usm.ac.id
Sentiment analysis is used for analyzing the emotions and attitudes expressed in text data.
In this study, sentiment analysis is used to understand people's enthusiasm toward Chat …

Artificial Intelligence Techniques for Fraud Detection

G Lai - 2023 - preprints.org
In the wake of increasing digital fraud, this paper introduces an innovative application of
Artificial Intelligence (AI) in detecting fraudulent activities across finance, healthcare, and e …

Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2

V Garcia-Rios, M Marres-Salhuana, F Sierra-Liñan… - 2023 - repositorio.autonoma.edu.pe
Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has
claimed millions of people's lives. The present research aims to know the impact of the use …

[HTML][HTML] Agente inteligente para la gestión de incidencias

O Iparraguirre-Villanueva, L Obregon-Palomino… - RISTI-Revista Ibérica de …, 2023 - scielo.pt
Un agente inteligente (AI) utiliza la inteligencia artificial (IA) para dialogar con los usuarios;
las incidencias son interrupciones que surgen y que impiden a los usuarios hacer uso de …

Search and classify topics in a corpus of text using the latent dirichlet allocation model

FR Pucuhuayla Revatta, O Iparraguirre-Villanueva… - 2023 - repositorio.utp.edu.pe
This work aims at discovering topics in a text corpus and classifying the most relevant terms
for each of the discovered topics. The process was performed in four steps: first, document …