# text2term

> Python software package

**Wikidata**: [Q116924843](https://www.wikidata.org/wiki/Q116924843)  
**Source**: https://4ort.xyz/entity/text2term

## Summary
text2term is a Python software package designed for ontology-oriented programming, particularly for mapping text to terms in ontologies. It is developed as part of the ontology-mapper project and leverages libraries like scikit-learn and Owlready2 to facilitate this functionality.

## Key Facts
- **Type**: Python package
- **License**: MIT License (as of 2023-02-27)
- **Latest Version**: 2.3.1 (released on 2023-05-10)
- **Programming Language**: Python
- **Dependencies**: Includes argparse, Pandas, NumPy, Gensim, SciPy, scikit-learn, Setuptools, Requests, tqdm, and sparse-dot-topn
- **Repository**: Hosted on GitHub at [ccb-hms/ontology-mapper](https://github.com/ccb-hms/ontology-mapper)
- **Copyright Status**: Copyrighted
- **Instance Of**: Software and Python package

## FAQs
### Q: What is text2term used for?
A: text2term is used for ontology-oriented programming, specifically for mapping text to terms in ontologies, which is part of the broader ontology-mapper project.

### Q: What programming language is text2term written in?
A: text2term is written in Python, as indicated by its classification as a Python package and its dependencies on Python libraries.

### Q: Where can I find the source code for text2term?
A: The source code for text2term is available on GitHub at [ccb-hms/ontology-mapper](https://github.com/ccb-hms/ontology-mapper).

### Q: What are the main dependencies of text2term?
A: text2term depends on several Python libraries, including argparse, Pandas, NumPy, Gensim, SciPy, scikit-learn, Setuptools, Requests, tqdm, and sparse-dot-topn.

### Q: What is the latest version of text2term?
A: The latest version of text2term is 2.3.1, released on 2023-05-10.

## Why It Matters
text2term plays a crucial role in the field of ontology-oriented programming by providing a tool for mapping text to terms in ontologies. This functionality is essential for applications that require semantic understanding and knowledge representation. By leveraging Python libraries such as scikit-learn and Owlready2, text2term offers a robust solution for developers working with ontologies. Its open-source nature, under the MIT License, encourages community contribution and adoption, making it a valuable resource for researchers and practitioners in the field.

## Notable For
- **Ontology Mapping**: Specializes in mapping text to terms within ontologies, a critical task in semantic web applications.
- **Python Integration**: Built as a Python package, it seamlessly integrates with other Python libraries and tools.
- **Open Source**: Released under the MIT License, promoting accessibility and community collaboration.
- **Active Development**: Regular updates and releases indicate ongoing maintenance and improvement.
- **Dependency Management**: Relies on a comprehensive set of Python libraries, ensuring robust functionality.

## Body
### Overview
text2term is a Python package developed for ontology-oriented programming, focusing on the task of mapping text to terms within ontologies. It is part of the ontology-mapper project and is designed to facilitate semantic understanding and knowledge representation.

### Development and Release
- **Initial Release**: The first version of text2term was released on 2022-11-09 as version 1.0.0.
- **Latest Release**: As of 2023-05-10, the latest version is 2.3.1, indicating active development and updates.
- **Repository**: The source code is hosted on GitHub under the repository [ccb-hms/ontology-mapper](https://github.com/ccb-hms/ontology-mapper).

### Technical Details
- **Dependencies**: text2term relies on several Python libraries, including argparse, Pandas, NumPy, Gensim, SciPy, scikit-learn, Setuptools, Requests, tqdm, and sparse-dot-topn. These dependencies ensure its functionality and integration with other tools.
- **License**: The package is released under the MIT License, which allows for open use, modification, and distribution.

### Usage and Applications
- **Ontology Mapping**: The primary use case for text2term is mapping text to terms within ontologies, which is essential for applications requiring semantic understanding.
- **Python Environment**: As a Python package, it is designed to work within the Python ecosystem, making it accessible to developers familiar with Python.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "text2term",
  "description": "Python software package for ontology-oriented programming and mapping text to terms in ontologies.",
  "url": "https://github.com/ccb-hms/ontology-mapper",
  "license": "https://spdx.org/licenses/MIT.html",
  "programmingLanguage": "Python",
  "softwareVersion": "2.3.1",
  "additionalType": "Python package"
}

## References

1. [Source](https://pypi.org/project/text2term)
2. [Release 1.0.0. 2022](https://github.com/ccb-hms/ontology-mapper/releases/tag/v1.0.0)
3. [Release 1.1.0. 2022](https://github.com/ccb-hms/ontology-mapper/releases/tag/v1.1.0)
4. [Release 1.1.1. 2022](https://github.com/ccb-hms/ontology-mapper/releases/tag/v1.1.1)
5. [Release 1.2.0. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v1.2.0)
6. [Release 1.2.1. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v1.2.1)
7. [Release 2.0.0. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v2.0.0)
8. [Release 2.0.2. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v2.0.2)
9. [Release 2.1.0. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v2.1.0)
10. [Release 2.3.0. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v2.3.0)
11. [Release 2.3.1. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v2.3.1)
12. [Release 2.3.2. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v2.3.2)
13. [Release 3.0.0. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v3.0.0)
14. [Release 3.0.1. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v3.0.1)
15. [Release 3.0.2. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v3.0.2)
16. [Release 4.0.0. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v4.0.0)
17. [Release 4.1.1. 2023](https://github.com/ccb-hms/ontology-mapper/releases/tag/v4.1.1)
18. [Release 4.1.2. 2024](https://github.com/ccb-hms/ontology-mapper/releases/tag/v4.1.2)
19. [Release 4.1.4. 2024](https://github.com/ccb-hms/ontology-mapper/releases/tag/v4.1.4)
20. [Release 4.2.0. 2024](https://github.com/ccb-hms/ontology-mapper/releases/tag/v4.2.0)
21. [Release 4.2.1. 2024](https://github.com/ccb-hms/ontology-mapper/releases/tag/v4.2.1)