Building a SentiWordNet for Odia

• Gaurav Mohanty ^[1] ; Abishek Kannan ^[1] ; Radhika Mamidi ^[1]
  1. [1] International Institute of Information Technology

     International Institute of Information Technology

     India

     
• Localización: 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017: Proceedings of the Workshop / Alexandra Balahur Dobrescu (ed. lit.), Saif M. Mohammad (ed. lit.), Erik van der Goot (ed. lit.), 2017, ISBN 978-1-945626-95-1, págs. 143-148
• Idioma: inglés
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• Resumen

  • As a discipline of Natural Language Pro- cessing, Sentiment Analysis is used to ex- tract and analyze subjective information present in natural language data. The task of Sentiment Analysis has acquired wide commercial uses including social media monitoring tasks, survey responses, re- view systems, etc. Languages like English have several resources which aid in the task of Sentiment Analysis. SentiWord- Net and Subjectivity WordList are exam- ples of such tools and resources. With more data being available in native vernac- ular, language-specific SentiWordNet(s) have become essential. For resource poor languages, creating such SentiWordNet(s) is a difficult task to achieve. One solu- tion is to use available resources in En- glish and translate the final source lexi- con to target lexicon via machine transla- tion. Machine translation systems for the English-Odia language pair have not yet been developed. In this paper, we discuss a method to create a SentiWordNet for Odia, which is resource-poor, by only using re- sources which are currently available for Indian languages. The lexicon created, would serve as a tool for Sentiment Anal- ysis related task specific to Odia data.