# ganeshjawahar/mem\_absa

<https://repo.masters-masters.com/en/repos/ganeshjawahar/mem_absa>

[Home](https://repo.masters-masters.com/en) › [ganeshjawahar](https://repo.masters-masters.com/en/owners/ganeshjawahar) › [mem\_absa](https://repo.masters-masters.com/en/repos/ganeshjawahar/mem_absa)

ganeshjawahar/mem\_absa has 197 stars on GitHub. Its RepoMasters card: Prototype tier. Aspect Based Sentiment Analysis using End-to-End Memory Networks

| Field | Value |
| --- | --- |
| Owner | [ganeshjawahar](https://repo.masters-masters.com/en/owners/ganeshjawahar) |
| Stars | 197 |
| Forks | 101 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2016 |
| Topics | aspect-based, sentiment-analysis, memory-networks, neural-networks, classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ganeshjawahar/mem\_absa](https://github.com/ganeshjawahar/mem_absa) |

## Repository

Aspect Based Sentiment Analysis using End-to-End Memory Networks

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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