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In this paper, we propose an ontology-driven method for opinion mining in social media. We first construct our Tunisian datasets from YouTube and social media content, mainly Twitter and Facebook. Then, based on natural language techniques and machine learning, we built four ontologies related to the Mobile phone, Election, Restaurant, and TV channel domains. We also propose an opinion mining method based on our domain ontologies.

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From Data to Decisions: An Ontology-Driven Method for Opinion Mining

  • 会议论文

  • 发表日期：

    2025年

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  • Mehdi Belguith,
  • Wafa Khabou,
  • Chafik Aloulou,
  • Bilel Gargouri

摘要

In this paper, we propose an ontology-driven method for opinion mining in social media. We first construct our Tunisian datasets from YouTube and social media content, mainly Twitter and Facebook. Then, based on natural language techniques and machine learning, we built four ontologies related to the Mobile phone, Election, Restaurant, and TV channel domains. We also propose an opinion mining method based on our domain ontologies.