Ontology-based sentiment analysis for brand crisis detection on online social media
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This paper discusses detection of brand crisis on online social media, i.e. when a brand is being suffered from unexpectedly high frequency of negative comments on online channels such as social networks, electronic news, blog and forum. In order to do so, we combined the usage of probabilistic model for burst detection with ontology-based aspect-level sentiment analysis technique to detect negative mention.
Tìm kiếm theo từ khóa liên quan:
Online crisis detection Burst detection Aspect-oriented sentiment ontology Sentiment analysis Online social mediaGợi ý tài liệu liên quan:
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