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Limbic: Author Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations

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Academic year: 2020

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Figure

Figure 1: Generate SEUs from a sentence.
Figure 2D shows Limbic’s model. With Dir(·) andMul(·) as Dirichlet and multinomial distributions,hyperparameter α is the Dirichlet prior of the worddistribution φ β,is the Dirichlet prior of the senti-ment distribution θ, and γ is the Dirichlet prior ofthe
Table 1: Summary of the evaluation datasets.
Table 3: Top words discovered from hotel (top section) and restaurant (bottom section) reviews.
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