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Investigating Semantic Differences in User-Generated Content by Cross-Domain Sentiment Analysis Means

Sentiment analysis of domain-specific short messages (DSSMs) raises challenges due to their peculiar nature, which can often include field-specific terminology, jargon, and abbreviations. In this paper, we investigate the distinctive characteristics of user-generated content across multiple domains,...

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Bibliografische Detailangaben
Hauptverfasser: Traian-Radu Ploscă, Christian-Daniel Curiac, Daniel-Ioan Curiac
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-03-01
Schriftenreihe:Applied Sciences
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Online-Zugang:https://www.mdpi.com/2076-3417/14/6/2421
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