# DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy

<https://repo.masters-masters.com/en/repos/DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy>

[Home](https://repo.masters-masters.com/en) › [DataTurks-Engg](https://repo.masters-masters.com/en/owners/DataTurks-Engg) › [Entity-Recognition-In-Resumes-SpaCy](https://repo.masters-masters.com/en/repos/DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy)

DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy has 460 stars on GitHub. Its RepoMasters card: Alpha tier. Automatic Summarization of Resumes with NER -\>…

| Field | Value |
| --- | --- |
| Owner | [DataTurks-Engg](https://repo.masters-masters.com/en/owners/DataTurks-Engg) |
| Stars | 460 |
| Forks | 214 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | named-entity-recognition, spacy-models, resume-parser, python, annotation-tool, labeling-tool, text-annotation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy](https://github.com/DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy) |

## Repository

Automatic Summarization of Resumes with NER -\> Evaluate resumes at a glance through Named Entity Recognition

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

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