The weight of context can be obtained by using cosine similarity in the improved Co-occurrence matrix and LDA topic model. We design a formula to extract ...

Our researches focus on the improved matrix and calculating the context weight in this paper. The rest of this paper will be organized as follows. Section. 2 ...

By analyzing the characteristics of product reviews in Chinese on the Internet, this paper proposes a novel context-based implicit feature extracting method ...

Bibliographic details on Context weight considered for implicit feature extracting.

This paper proposes a novel context-based implicit feature extracting method. We extract the implicit features according to the opinion words.

为了解决这个问题，我们提出了一种新的方法来评估上下文对提取的贡献。我们建立了一个改进的共现矩阵，其中包含了意见词与不同上下文之间的距离。然后利用LDA主题模型得到 ...

We extract the implicit features according to the opinion words and the similarity between the product features in the implicit features' context. We also build ...

Jan 31, 2022 · The network is able to select features by assigning weights. If a feature is useless, the network will learn to weight it as 0, effectively ...

Feb 1, 2024 · The proposed Aspect-BiLSTM model was developed to extract the sequential properties of its input texts while retaining their semantic, syntactic ...

This model considers both topics and context of opinion words. Experiments show that JTO provides higher accuracy in implicit features extraction. ResearchGate ...