# Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/interpretable-convolutional-neural-networks-with-dual-local-and-global-attention/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sungyong Seo,Jing Huang,Hao Yang,Yan Liu |
| Citations | 465 |
| DOI | 10.1145/3109859.3109890 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2749348810 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Yan Liu](https://scholariq.org/researchers/yan-liu-3/)

## Paper primary topic

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)

## Paper topics

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.