Semantic and Lexical Text Analyzer

  1. SERVET, Marcos 1
  2. MARTÍN, David 1
  3. PÉREZ, Daniel 1
  4. David Martín
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Revista:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Any de publicació: 2018

Volum: 7

Número: 4

Pàgines: 27-34

Tipus: Article

DOI: 10.14201/ADCAIJ2018742734 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Resum

A multi-agent systems is described that analyzes texts from two points of view: on the one hand in a lexical and on the other in a semantic way. The main purpose of the system is the efficient processing of the inputted text in order to analyzing it, and as a result, outputting it in the right way. That means that after analyzing each phrase of the imputed text, the main agent will delete each wrong phrase. Agents will exchange messages trying to stably which phrase is correct or incorrect. The system will not only remove wrong phrases, it will also make a list with all the removed ones and the reasons that made the main agent discard them so the person that inputted the text can know why those phrases were in a wrong way.

Referències bibliogràfiques

  • Aguilar, J., Cerrada, M., and Hidrobo, F., 2007. A Methodology to Specify Multiagent Systems. In Agent and Multi-Agent Systems: Technologies and Applications, pages 92-93. Springer. - https://doi.org/10.1007/978-3-540-72830-6_10
  • Balachandran, B. M., 2008. Developing Intelligent Agent Application with JADE and JESS. In Know ledge-Based Intelligent Information and Engineering System, pages 236-238. Springer. - https://doi.org/10.1007/978-3-540-85567-5_30
  • Bellifemine, F., Caire, G., and Greenwood, D., 2007. Developing Multi-Agent Systems with JADE. Davidsson, P., Persson, J. A., and Holmgren, J., 2007. On the Integration of Agent-Based and Mathematical Optimization Techniques. In Agent and Multi-Agent Systems: Technologies and Applicat ions. Pages 1-20. - https://doi.org/10.1002/9780470058411
  • Carvalho, A. M., da Silva, D., Tavares, J. L., and Strube, V. L., 1998. Multi-Agent Systems for Natural Language Processing. Pages 1-5.
  • Chamoso, P., Rivas, A., Rodríguez, S., Bajo, J., 2018. Relationship recommender System in a business and employment-oriented social network. In Information Sciences, pages 204-219. Elsevier. - https://doi.org/10.1016/j.ins.2017.12.050
  • Chaturvedi, I., Cambria, E., Welsch, E., R., Herrera, F., 2018. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. In Information Fusion, pages 65-77. Elsevier. - https://doi.org/10.1016/j.inffus.2017.12.006
  • Foltz, W., P., 1996. Latent semàntic analysis for text-based research. In Analysis of semàntic and clinical data, pages 197-201. Springer. - https://doi.org/10.3758/BF03204765
  • Hannebauer. M., 2003. Compostable BDI Agents. In Autonomous Dynamic Reconfiguration in Multi-Agent Systems, pages 138-142. Springer. - https://doi.org/10.1007/3-540-45834-4
  • López Sánchez, D., Revuelta, H., J., González, A., A.,Corchado, R., J. M., 29 December 2017. Hybridizing Metric Learning and Case-Based Reasoning for adaptable clickbait detection. In Applied Intelligence. In press. Springer. - https://doi.org/10.1007/s10489-017-1109-7
  • Medhat, W., Hassan, A., Korashy, H., 2014. Sentiment analysis algorithms and Applications: A survey. In Ain Shams Engineering Journal, Volume 5, Issue 4, pages 1093-1113. - https://doi.org/10.1016/j.asej.2014.04.011
  • Nikraz, M., Caire, G. and Bahri, P.A., 2006. A Methodology for the development of multi-agent System using the JADE platform. In International Journal of Computer Systems Science & Engineering, pages 99-116.
  • Roman, V., J., 2015. Introducción al anàlisis de sentimientos (mineria de opiniones). Pages 1-3.
Fuente de los datos: Dialnet