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 …

Convolutional neural networks with transfer learning for pneumonia detection

O Iparraguirre-Villanueva, V Guevara-Ponce… - 2022 - repositorio.uwiener.edu.pe
“Pneumonia is a type of acute respiratory infection caused by microbes, and viruses that
affect the lungs. Pneumonia is the leading cause of infant mortality in the world, accounting …

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 …

A Review on Text Sentiment Analysis with Machine Learning and Deep Learning Techniques

Y Mamani-Coaquira, E Villanueva - IEEE Access, 2024 - ieeexplore.ieee.org
Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …

[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 …

Machine Learning Models to Classify and Predict Depression in College Students.

O Iparraguirre-Villanueva… - … of Interactive Mobile …, 2024 - search.ebscohost.com
Depression is an increasingly common mental health condition worldwide and is influenced
by various factors such as anxiety, frustration, obesity, medical issues, etc. In severe cases, it …

[HTML][HTML] Comparing Machine Learning Models for Sentiment Analysis and Rating Prediction of Vegan and Vegetarian Restaurant Reviews

S Hanić, M Bagić Babac, G Gledec, M Horvat - Computers, 2024 - mdpi.com
The paper investigates the relationship between written reviews and numerical ratings of
vegan and vegetarian restaurants, aiming to develop a predictive model that accurately …

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 …

Enhanced Aquila Optimizer Combined Ensemble Bi-LSTM-GRU with Fuzzy Emotion Extractor for Tweet Sentiment Analysis and Classification

A Sherin, IJ SelvakumariJeya, SN Deepa - IEEE Access, 2024 - ieeexplore.ieee.org
Tweet Sentiment Analysis (TSA) is a prominent technique to glean valuable insights from the
users of Twitter (currently the X platform) to understand their emotional state of mind. This …

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 …