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Research map / Probabilistic and scientific modeling / Variational and generative sampling

Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis

AAAI 2017 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Disentangled and discrete latent models · 66 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add sentiment propagation to words within latent scope (ablation)SS · English entity-level sentimentF1: 39.74 -> 40.11Helped
add sentiment propagation to words within latent scope (ablation)SS · Spanish entity-level sentimentF1: 40.60 -> 42.75Helped
add sentiment propagation to words within latent scope (ablation)SS · English entity recognitionF1: 56.76 -> 56.83No clear effect
learn latent scopes instead of fixed midpoint scopes (ablation)SS · English entity-level sentimentF1: 38.94 -> 40.11Helped
learn latent scopes instead of fixed midpoint scopes (ablation)SS · Spanish entity recognitionF1: 63.69 -> 66.36Helped
learn latent scopes instead of fixed midpoint scopes (ablation)SS · Spanish entity-level sentimentF1: 40.97 -> 42.75Mixed
learn latent scopes instead of fixed scopes in semi-Markov model (ablation)SS (semi) · English entity recognitionF1: 59.21 -> 58.85No clear effect
add word embedding featuresSS · English entity-level sentimentF1: 40.11 -> 43.55Helped
add word embedding featuresSS · Spanish entity-level sentimentF1: 42.75 -> 44.13Helped
add POS tag featuresSS · English entity-level sentimentF1: 40.11 -> 42.21Helped
use sentiment scope model vs collapsed CRFSS · English entity-level sentimentF1: 33.90 -> 40.11Helped

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