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Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised

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Figure

Figure 1: Aspect-based opinion summarization. Opinions on image quality, sound quality, connectivity,and price of an LCD television are extracted from a set of reviews
Figure 2: Multi-Seed Aspect Extractor (MATE).
Table 1: Highest ranked words for the televisioncorpus according to Equation (9).
Table 2: Most salient opinions according toscores from Equation (12) for an LCD TV.Table 3: The OPOSUM corpus
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