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- W969441314 abstract "With the increase in popularity of e-commerce, more and more customer reviews are available online, it's usu- ally hard to go through each of them. Latent Dirichlet Allocation (LDA) was used to mine product aspect. Considering the weakness of standard LDA when processing review text, we defined the product aspect model, and predefined aspects for different domains, and proposed aspect model combined N-gram based on sentence, which can automate aspect cluster- ing. Our experimental results show that the proposed model can cluster mostly aspects and recognize representative words for the aspect with more than one word, and achieve better sentence-level aspect precision than previously proposed as- pect models." @default.
- W969441314 created "2016-06-24" @default.
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- W969441314 date "2014-12-31" @default.
- W969441314 modified "2023-09-24" @default.
- W969441314 title "Aspect Clustering Combined N-gram for Reviews" @default.
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- W969441314 doi "https://doi.org/10.2174/1874110x01408010938" @default.
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