Heterogeneous text graph for comprehensive multilingual sentiment analysis: capturing short- and long-distance semantics
El Mahdi Mercha,
Houda Benbrahim,
Mohammed Erradi
Abstract:Multilingual sentiment analysis (MSA) involves the task of comprehending people’s opinions, sentiments, and emotions in multilingual written texts. This task has garnered considerable attention due to its importance in extracting insights for decision-making across diverse fields such as marketing, finance, and politics. Several studies have explored MSA using deep learning methods. Nonetheless, a majority of these studies depend on sequential-based approaches, which focus on capturing short-distance semantics… Show more
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