Mostrando ítems 1-9 de 9
Supervised Sentiment Analysis Algorithms
(Karadeniz Technical University, 2021)
Sentiment analysis is used to analyse customer sentiment by the process of using natural language processing, text analysis, and statistics. A good customer survey understands the sentiment of their customers—what, how and ...
Machine learning model through ensemble bagged trees in predictive analysis of university teaching performance
(Science and Information Organization, 2022)
The objective of this study is to analyze and discuss the metrics of the Machine Learning model through the Ensemble Bagged Trees algorithm, which will be applied to data on satisfaction with teaching performance in the ...
A system of remote patients' monitoring and alerting using the machine learning technique
Machine learning has become an essential tool in daily life, or we can say it is a powerful tool in the majority of areas that we wish to optimize. Machine learning is being used to create techniques that can learn from ...
Identification of urban sectors prone to solid waste accumulation: A machine learning approach based on social indicators
In the last decades, the accumulation of municipal solid waste in urban areas has become a latent concern in our society due to its implications for the exposed population and the possible health and environmental issues ...
Methodology for the use of machine learning, applied in predicting the level of success in legal cases
(RWTH Aachen University, 2022)
ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different ...
Exploratory data analysis of community behavior towards the generation of solid waste using k-means and social indicators
(International Information and Engineering Technology Association, 2021)
In Peru, solid waste accumulation has been constant for decades and impacts 72% of local governments, affecting 42% of the population. These numbers show new tools are required to better understand this phenomenon and ...
Machine learning for personal credit evaluation: A systematic review
(World Scientific and Engineering Academy and Society, 2022)
The importance of information in today's world as it is a key asset for business growth and innovation. The problem that arises is the lack of understanding of knowledge quality properties, which leads to the development ...
Machine learning for credit risk in the Reactive Peru Program: A comparison of the Lasso and Ridge regression models
(Multidisciplinary Digital Publishing Institute, 2022)
COVID-19 has caused an economic crisis in the business world, leaving limitations in the continuity of the payment chain, with companies resorting to credit access. This study aimed to determine the optimal machine ...
Satellite image classification for environmental change prediction using image processing and machine learning techniques
(Neuro Quantology, 2022)
In this research satellite image classification for environmental change prediction using image processing and machine learning methods is used. As we know satellite images is one of the important sources of collecting ...