Now showing items 1-3 of 3
Trending Topic Extraction using Topic Models and Biterm Discrimination
Mining and exploitation of data in social networks has been the focus of many efforts, but despite the resources and energy invested, still remains a lot for doing given its complexity, which requires the adoption of a ...
Evaluation of potential Spanish text markers on social posts asfeatures for polarity classification
This work describes the identification and evaluation process of potential text markers for sen-timent analysis. Evaluation of the markers and its use as part of the feature extraction processfrom plain text that is needed ...
Evaluation of potential features present in short texts in spanish in order to classify them by polarity
Evaluación de características potenciales presentes en textos cortos en español para clasificarlos por polaridad
This work describes the identification and evaluation process of potential text markers for sentiment analysis. The evaluation of the markers and their use as part of the feature extraction process from ...