# fhamborg/NewsMTSC

<https://repo.masters-masters.com/en/repos/fhamborg/NewsMTSC>

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

fhamborg/NewsMTSC has 158 stars on GitHub. Its RepoMasters card: Prototype tier. Target-dependent sentiment classification in news articles reporting on…

| Field | Value |
| --- | --- |
| Owner | [fhamborg](https://repo.masters-masters.com/en/owners/fhamborg) |
| Stars | 158 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | news-articles, dataset, tsc, cuda, pytorch, deep-learning, text-classification, sentiment-analysis, sentiment-classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [fhamborg/NewsMTSC](https://github.com/fhamborg/NewsMTSC) |

## Repository

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

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.