# GeneZC/ASGCN

<https://repo.masters-masters.com/en/repos/GeneZC/ASGCN>

[Home](https://repo.masters-masters.com/en) › [GeneZC](https://repo.masters-masters.com/en/owners/GeneZC) › [ASGCN](https://repo.masters-masters.com/en/repos/GeneZC/ASGCN)

GeneZC/ASGCN has 293 stars on GitHub. Its RepoMasters card: Alpha tier. Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment…

| Field | Value |
| --- | --- |
| Owner | [GeneZC](https://repo.masters-masters.com/en/owners/GeneZC) |
| Stars | 293 |
| Forks | 67 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [GeneZC/ASGCN](https://github.com/GeneZC/ASGCN) |

## Repository

Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by GeneZC

- [GeneZC/MiniMA · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/GeneZC/MiniMA)

## Nearby in Python

- [ukr8b3g-cmyk/ComfyUI-H3-Continuum · ★ 293 · Python · Alpha](https://repo.masters-masters.com/en/repos/ukr8b3g-cmyk/ComfyUI-H3-Continuum)
- [Vizcexex/ai-video-analysis-system · ★ 293 · Python · Alpha](https://repo.masters-masters.com/en/repos/Vizcexex/ai-video-analysis-system)
- [canberk7/ema-lightning · ★ 293 · Python · Alpha](https://repo.masters-masters.com/en/repos/canberk7/ema-lightning)
- [tuomasjjrasanen/python-uinput · ★ 293 · Python · Alpha](https://repo.masters-masters.com/en/repos/tuomasjjrasanen/python-uinput)
- [bdarnell/tornado-production-skeleton · ★ 293 · Python · Alpha](https://repo.masters-masters.com/en/repos/bdarnell/tornado-production-skeleton)
- [titoBouzout/WordCount · ★ 293 · Python · Alpha](https://repo.masters-masters.com/en/repos/titoBouzout/WordCount)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.