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Sentiment analysis in twitter: Impact of morphological characteristics
(Corporación Universidad de la Costa, 2020)
This paper presents a series of experiments aimed at the sentiment analysis on texts posted in Twitter. In particular, several morphological characteristics are studied for the representation of texts in order to determine ...
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics
(Corporación Universidad de la Costa, 2020-09-08)
The objectives of this study were to define and determine the energy efficiency indexes that should be considered to measure and analyze the energy performance in enterprises engaged in processing green coffee for export. ...
Data mining and association rules to determine twitter trends
(Corporación Universidad de la Costa, 2020)
Opinion mining has been widely studied in the last decade due to its great interest in the field of research and countless real-world applications. This research proposes a system that combines association rules, generalization ...
Forecast of operational data in electric energy plants using adaptive algorithm
(Corporación Universidad de la Costa, 2020)
Traditional time series methods offer models whose parameters remain constant over time. However, industrial supply and demand processes require timely decisions based on a dynamic reality. A change in configuration, turning ...
Web platform for the identification and analysis of events on twitter
(Corporación Universidad de la Costa, 2020)
Due to the great popularity of social networks among people, businesses, public figures, etc., there is a need for automatic methods to facilitate the search, retrieval, and analysis of large amounts of information. Given ...
Texture analysis in skull magnetic resonance imaging
(Corporación Universidad de la Costa, 2020)
raumatic brain injury (TBI) represents a serious public health problem worldwide. It is the most common cause of death and disability in the young population (aged 15–45 years), with major family, social and economic ...
Model for predicting academic performance through artificial intelligence
(Corporación Universidad de la Costa, 2020)
During the transit of students in the acquisition of competencies that allow them a good future development of their profession, they face the constant challenge of overcoming academic subjects. According to the learning ...
Impact of class imbalance on convolutional neural network training in multi-class problems
(Corporación Universidad de la Costa, 2020)
Image classification is the process of assigning an image one or multiple tags that describe its content. To perform the classification, a model must be designed for learning the labels to be assigned to a given image. The ...
Predicting short-term electricity demand through artificial neural network
(Corporación Universidad de la Costa, 2020)
Forecasting the consumption of electric power on a daily basis allows considerable money savings for the supplying companies, by reducing the expenses in generation and operation. Therefore, the cost of forecasting errors ...
Prediction of psychosocial risks in teachers using data mining
(Corporación Universidad de la Costa, 2020)
Integrated management systems aim to improve these everyday situations that are inherent to work and cause for concern. In search for continuous improvement, it is necessary to innovate with techniques in areas that are ...