The Spanish Travel Subjective Lexicon (STSL).

Alvarez De Mon Rego, Inmaculada and Rodríguez Villareal, Mercedes and Barbosa Santillán, Liliana Ibeth (2013). The Spanish Travel Subjective Lexicon (STSL).. In: "10th International Conference on Terminology and Artificial Intelligence TIA 2013", 28/10/2013 - 30/10/2013, Paris. pp. 87-90.

Description

Title: The Spanish Travel Subjective Lexicon (STSL).
Author/s:
  • Alvarez De Mon Rego, Inmaculada
  • Rodríguez Villareal, Mercedes
  • Barbosa Santillán, Liliana Ibeth
Item Type: Presentation at Congress or Conference (Article)
Event Title: 10th International Conference on Terminology and Artificial Intelligence TIA 2013
Event Dates: 28/10/2013 - 30/10/2013
Event Location: Paris
Title of Book: Proceedings 10th International Conference on Terminology and Artificial Intelligence TIA 2013
Date: 2013
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Lingüistica Aplicada a la Ciencia y a la Tecnología
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (115kB)

Abstract

This paper presents a proposal for a recognition model for the appraisal value of sentences. It is based on splitting the text into independent sentences (full stops) and then analysing the appraisal elements contained in each sentence according to the previous value in the appraisal lexicon. In this lexicon, positive words are assigned a positive coefficient (+1) and negative words a negative coefficient (-1). We take into account word such as ?too?, ?little? (when it is not ?a bit?), ?less?, and ?nothing? than can modify the polarity degree of lexical unit when appear in the nearby environment. If any of these elements are present, then the previous coefficient will be multiplied by (-1), that is, they will change their sign. Our results show a nearly theoretical effectiveness of 90%, despite not achieving the recognition (or misrecognition) of implicit elements. These elements represent approximately 4% of the total of sentences analysed for appraisal and include the errors in the recognition of coordinated sentences. On the one hand, we found that 3.6 % of the sentences could not be recognized because they use different connectors than those included in the model; on the other hand, we found that in 8.6% of the sentences despite using some of the described connectors could not be applied the rules we have developed. The percentage relative to the whole group of appraisal sentences in the corpus was approximately of 5%.

More information

Item ID: 26702
DC Identifier: http://oa.upm.es/26702/
OAI Identifier: oai:oa.upm.es:26702
Official URL: https://lipn.univ-paris13.fr/tia2013/Home.html
Deposited by: Memoria Investigacion
Deposited on: 14 Jul 2014 12:59
Last Modified: 22 Sep 2014 11:42
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM