66 citations · 80 across the 8 of their papers we have counts for
10 papers
Regionalized models for Spanish language variations based on Twitter
Eric S. Tellez, Daniela Moctezuma, Sabino Miranda +2
Spanish is one of the most spoken languages in the globe, but not necessarily Spanish is written and spoken in the same way in different countries. Understanding local language var…
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis
Eric S. Tellez, Sabino Miranda-Jiménez, Mario Graff +3
Sentiment analysis is a text mining task that determines the polarity of a given text, i.e., its positiveness or negativeness. Recently, it has received a lot of attention given th…
A Python Library for Exploratory Data Analysis on Twitter Data based on Tokens and Aggregated Origin-Destination Information
Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez +1
Twitter is perhaps the social media more amenable for research. It requires only a few steps to obtain information, and there are plenty of libraries that can help in this regard.…
Selection Heuristics on Semantic Genetic Programming for Classification Problems
Claudia N. Sánchez, Mario Graff
Individual's semantics have been used for guiding the learning process of Genetic Programming solving supervised learning problems. The semantics has been used to proposed novel ge…
Improving classification performance by feature space transformations and model selection
Jose Ortiz-Bejar, Eric S. Tellez, Mario Graff
Improving the performance of classifiers is the realm of feature mapping, prototype selection, and kernel function transformations; these techniques aim for reducing the complexity…
EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis
Mario Graff, Sabino Miranda-Jiménez, Eric S. Tellez +1
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 negat…