Idiom Polarity Identification using Contextual Information

Authors

  • Belém Priego Sánchez Universidad Autónoma Metropolitana, unidad Azcapotzalco
  • David Pinto Benemérita Universidad Autónoma de Puebla, Puebla, México

DOI:

https://doi.org/10.13053/cys-22-1-2791

Keywords:

Polarity, idiom, lexicon

Abstract

Identifying the polarity of a given text is a complex task that usually requires an analysis of the contextual information. This task becomes to be much more complex when, in such analysis, we consider smaller textual components than paragraphs, such as sentences, phraseological units or single words. In this paper, we consider the automatic identification of polarity for linguistic units known as idioms based on their contextual information. Idioms are a phraseological unit made up of more than two words in which one of those words plays the role of the predicate. We employ three lexicons for determining the polarity of those words surrounding the idiom, i.e., in its context and using this information we infer the possible polarity of the target idiom. The lexicons we are using are: ElhPolar dictionary, iSOL and ML-SentiCON Sentiment Spanish Lexicon, all of them containg the polarity of different words. One of the aims of this research work is to identify the lexicon that provides the best results for the task proposed, which is to count the number of positive and negative words in the idiom context, so that we can infer the polarity of the idiom itself. The experiments carried out show that the best combination obtain results close to 57.31% when the texts are lemmatized and 48.87% when they are not lemmatized.

Author Biography

Belém Priego Sánchez, Universidad Autónoma Metropolitana, unidad Azcapotzalco

Universidad Autónoma Metropolitana, Ciudad de México, México

Downloads

Published

2018-03-30

Issue

Vol. 22 No. 1 (2018): Thematic Issue on Language & Knowledge Engineering (Guest Editors: D. Pinto, D. Vilariño, B. Beltrán)

Section

Articles of the Thematic Issue

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.