Semantic Genetic Programming for Sentiment Analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Graff:2015:NEO,
  author =       "Mario Graff and Eric S. Tellez and 
                 Hugo Jair Escalante and Sabino Miranda-Jimenez",
  title =        "Semantic Genetic Programming for Sentiment Analysis",
  booktitle =    "NEO 2015: Results of the Numerical and Evolutionary
                 Optimization Workshop NEO 2015 held at September 23-25
                 2015 in Tijuana, Mexico",
  year =         "2015",
  editor =       "Oliver Schuetze and Leonardo Trujillo and 
                 Pierrick Legrand and Yazmin Maldonado",
  volume =       "663",
  series =       "Studies in Computational Intelligence",
  pages =        "43--65",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, semantic
                 genetic programming, sentiment analysis",
  isbn13 =       "978-3-319-44003-3",
  URL =          "http://link.springer.com/chapter/10.1007/978-3-319-44003-3_2",
  DOI =          "doi:10.1007/978-3-319-44003-3_2",
  abstract =     "Sentiment analysis is one of the most important tasks
                 in text mining. This field has a high impact for
                 government and private companies to support major
                 decision-making policies. Even though Genetic
                 Programming (GP) has been widely used to solve real
                 world problems, GP is seldom used to tackle this trendy
                 problem. This contribution starts rectifying this
                 research gap by proposing a novel GP system, namely,
                 Root Genetic Programming, and extending our previous
                 genetic operators based on projections on the phenotype
                 space. The results show that these systems are able to
                 tackle this problem being competitive with other
                 state-of-the-art classifiers, and, also, give insight
                 to approach large scale problems represented on high
                 dimensional spaces.",
  notes =        "Published 2017",
}

Genetic Programming entries for Mario Graff Guerrero Eric Sadit Tellez Hugo Jair Escalante Sabino Miranda-Jimenez

Citations