Proposing a visualized comparative review analysis model on tourism domain using Naïve Bayes classifier

AVD Sano, AA Stefanus, ED Madyatmadja… - Procedia Computer …, 2023 - Elsevier
This study, using the Naïve Bayes classifier, proposes a new descriptive model for
conducting a comparative review analysis on the tourism domain. The proposed model …

Polysaccharides and Lectins: A Natural Complementary Approach against the SARS-CoV-2 Pandemic

R Lefter, P Balyan, IM Balmus, A Ech-Chahad… - Microbiology …, 2024 - mdpi.com
Infection with the novel coronavirus SARS-CoV-2, the cause of coronavirus disease (COVID-
19), has emerged as a global pandemic, with a high toll on casualties, economic impact, and …

Identifying discernible indications of psychological well-being using ML: explainable AI in reddit social media interactions

PD Thushari, N Aggarwal, V Vajrobol… - Social Network Analysis …, 2023 - Springer
Psychological well-being is a multidimensional construct and identifying it using a
systematic, comprehensive approach offers insights fundamental to critical outcomes. Social …

Evaluating automatic annotation of lexicon-based models for stance detection of M-pox tweets from May 1st to Sep 5th, 2022

N Perikli, S Bhattacharya, B Ogbuokiri… - PLOS Digital …, 2024 - journals.plos.org
Manually labeling data for supervised learning is time and energy consuming; therefore,
lexicon-based models such as VADER and TextBlob are used to automatically label data …

Sentiment-Aware Detection Method of Fake News Based on Linguistic Fuzzy Bi-LSTM

R Seth, A Sharaff - 2023 OITS International Conference on …, 2023 - ieeexplore.ieee.org
Fake news is a harmful fortification that can target the well beingness of individuals as well
as organizations and make a spur about every misinformation. Fake news-based research …

[PDF][PDF] Entropy State-Regularized Recurrent Neural Network-Long Short Term Memory (ESRRNN-LSTM) and Classifier for COVID-19 Vaccine

A Sathya, MS Mythili - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Background: The subject of why some people refuse to receive certain vaccines during an
ongoing public health crisis is particularly relevant because low vaccination rates will …

Fake news detection by Machine Learning in Latin America: A Systematic Review

JG Nguema Ngomo, R Torres De Paiva, AC Garcia - 2024 - aisel.aisnet.org
The growing spread of fake news on social network is a major scourge in society. To combat
this problem, many studies have focused on different aspects to automatically detect fake …

Examining Reactions about COVID-19 Vaccines: A Systematic Review of Studies Utilizing Deep Learning for Sentiment Analysis

RR Saxena - Authorea Preprints, 2024 - techrxiv.org
Objective: The exponential growth of digital social platforms has not only connected
individuals globally but has also provided a platform for users to freely express their …

An efficient fake news classification model based on ensemble deep learning techniques

RU Maheswari, N Sudha - Salud, Ciencia y Tecnología …, 2024 - conferencias.ageditor.ar
The availability and expansion of social media has made it difficult to distinguish between
fake and real news. Information falsification has exponentially increased as a result of how …

Los fake news y los principios éticos en los estudiantes de la Escuela Profesional de Ciencias de la Comunicación, Universidad Nacional San Luis Gonzaga-2022

KS Macedo Inca - 2023 - repositorio.unica.edu.pe
La siguiente investigación tuvo como objetivo determinar la relación de los fake news y los
principios éticos en los estudiantes de la Facultad de Ciencias de la Comunicación …