Author: Eric Sadit Téllez Avila

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

MARIO GRAFF GUERRERO SABINO MIRANDA JIMENEZ Eric Sadit Téllez Avila Daniela Moctezuma (2019)

Sentiment analysis (SA) is a task related to understanding people's feelings in written text; the starting point would be to identify the polarity level (positive, neutral or negative) of a given text, moving on to identify emotions or whether a text is humorous or not. This task has been the subject of several research competitions in a number of languages, e.g., English, Spanish, and Arabic, among others. In this contribution, we propose an SA system, namely EvoMSA, that our participating systems in various SA competitions, making it domain independent and multilingual by processing text using only language-independent techniques.

EvoMSA is based on Genetic Programming that works by combining the output of text classifers to produce the final prediction. We analyzed EvoMSA on diferent SA competitions to provide a global overview of its performance. The results indicated that EvoMSA is competitive obtaining top rankings in several SA competitions. Furthermore, we performed an analysis of EvoMSA's components to measure their contribution to the performance; the aim was to facilitate a practitioner or newcomer to implement a competitive SA classifer. Finally, it is worth to mention that EvoMSA is available as open source software.

Article

Lenguaje de programación Máquina de aprendizaje INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES DE PROGRAMACIÓN LENGUAJES DE PROGRAMACIÓN

Near neighbor searching with K nearest references

EDGAR LEONEL CHAVEZ GONZALEZ Mario Graff Gonzalo Navarro ERIC SADIT TELLEZ AVILA (2015)

Proximity searching is the problem of retrieving,from agiven data base,those objects closest to aquery.To avoid exhaustive searching, data structures called indexes are builton the data base prior to serving queries.The curse of dimensionality is awell-known problem

for indexes: in spaces with sufficiently concentrated distance histograms,no index out performs anexhaustive scan of the data base.

Article

Tecnologías de la Información y Comunicación INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS

Semantic Genetic Programming Operators Based on Projections in the Projections in the Phenotype Space

ERIC SADIT TELLEZ AVILA SABINO MIRANDA JIMENEZ MARIO GRAFF GUERRERO Elio Atenógenes Villaseñor García (2015)

In the Genetic Programming (GP) community there has been a great interest in developing semantic genetic operators. These type of operators use information of the phenotype to create ospring. The most recent approaches of semantic GP include the GP framework based on the alignment of error space, the geometric semantic genetic operators, and backpropagation genetic operators. Our contribution proposes two semantic operators based on projections in the phenotype space. The proposed operators have the characteristic, by construction, that the ospring's tness is as at least as good as the tness of the best parent; using as tness the euclidean distance. The semantic operators proposed increment the learning capabilities of GP. These operators are compared against a traditional GP and Geometric Semantic GP in the Human oral bioavailability regression problem and 13 classication problems. The results show that a GP system with our novel semantic operators has the best performance in the training phase in all the problems tested.

Article

Tecnologías de la Información y Comunicación INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS

Minería de opinión en blogs financieros para la predicción de tendencias en mercados bursátiles

Sergio Hernández SABINO MIRANDA JIMENEZ ERIC SADIT TELLEZ AVILA MARIO GRAFF GUERRERO Elio Atenógenes Villaseñor García (2015)

El análisis de redes sociales para el estudio de mercados financieros se ha vuelto un tema de investigación y desarrollo de herramientas que permite a los agentes financieros usar las opiniones de la gente para aumentar la precisión en las predicciones de mercado. Nuestra investigación se enfoca en la predicción de la tendencia de índices financieros usando la minería de opinión, basado en el análisis de blogs especializados en finanzas para el idioma inglés. Los comenta-rios vertidos en estos blogs son clasificados en términos de su opinión respecto a la tendencia de mercado (a la alza, estable o a la baja). Se evalúan distintas téc-nicas de aprendizaje computacional y minería de textos para la clasificación de los comentarios realizados durante un periodo de tres meses. Los resultados ob-tenidos muestran que este análisis puede ser incorporado como un factor en la toma de decisión de los agentes financieros y mejorar la precisión de sus proyec-ciones.

Article

Minería de opinión INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS