# 使用 Homebrew 安装 mitie

查看 mitie 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install brew:mitie
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install mitie
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:mitie
- **软件包管理器:** Homebrew
- **版本:** 0.7
- **来源摘要:** Library and tools for information extraction
- **主页:** <https://github.com/mit-nlp/MITIE/>
- **仓库:** <https://github.com/mit-nlp/MITIE>
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- ner_example (别名)
- ner_stream (别名)
- relation_extraction_example (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.7
## 项目历史与用法

MITIE, the MIT Information Extraction library, is a C++ library and tool collection for information extraction tasks such as named-entity recognition and relation extraction. Davis King's dlib announcement introduced MITIE as a free information-extraction toolkit with a C API and a streaming command-line named-entity recognizer, with plans for additional language bindings and NLP tools.

### 使用方式

The GitHub project presents MITIE as a library first and a set of examples and command-line tools second. Its core is written in C++, but the project documents bindings for Python, R, Java, C, and MATLAB, with outside bindings for other languages. In practice, users build the shared library, download trained model files, run examples, or use tools such as `ner_stream`; the Homebrew package exposes demonstration and streaming executables for the smaller NLP tooling niche rather than a full application server.

### 来源

- <https://blog.dlib.net/2014/04/mitie-completely-free-and-state-of-art.html>
- <https://formulae.brew.sh/formula/mitie>
- <https://github.com/mit-nlp/MITIE>


## 安全说明

broad file, network, media, or database tool signal.

- **Geiger 风险:** blue / 中
- broad file, network, media, or database tool signal


## Combined YAML source

View the package source record on GitHub. [combined/mitie.yml](https://github.com/mxcl/pkgdb/blob/main/combined/mitie.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph