TL;DR
This paper introduces a shared, symbolic syntax-based polarity classification system for five Iberian languages, addressing language dependency issues in multilingual sentiment analysis.
Contribution
It presents the first multilingual Iberian polarity classifier with shared rules, reducing language-specific adaptation needs.
Findings
Shared rules improve multilingual polarity classification
System is applicable to five Iberian languages
Model is publicly available
Abstract
Lexicon-based methods using syntactic rules for polarity classification rely on parsers that are dependent on the language and on treebank guidelines. Thus, rules are also dependent and require adaptation, especially in multilingual scenarios. We tackle this challenge in the context of the Iberian Peninsula, releasing the first symbolic syntax-based Iberian system with rules shared across five official languages: Basque, Catalan, Galician, Portuguese and Spanish. The model is made available.
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