Targeted Aspect-Based Sentiment Analysis for Lithuanian Social Media Reviews

• Mažvydas Petkevičius ^[1] ; Daiva Vitkutė-Adžgauskienė ^[1] ; Darius Amilevičius ^[1]
  1. [1] Vytautas Magnus University

     Vytautas Magnus University

     Lituania

     
• Localización: Human Language Technologies – The Baltic Perspective: Proceedings of the Ninth International Conference Baltic HLT 2020 / coord. por Andrius Utka, Jurgita Vaičenonienė, Jolanta Kovalevskaitė, Danguolė Kalinauskaitė, 2024, ISBN 978-1-64368-116-0, págs. 32-38
• Idioma: inglés
• Enlaces
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• Resumen

  • The paper presents research results for solving the task of targeted aspect-based sentiment analysis in the specific domain of Lithuanian social media reviews. Methodology, system architecture, relevant NLP tools and resources are described, finalized by experimental results showing that our solution is suitable for solving targeted aspect-based sentiment analysis tasks for under-resourced, morphologically rich and flexible word order languages.