A course on applying natural language processing (NLP) techniques for social science research.
Project description
NLP for Social Science
A course on applying natural language processing (NLP) techniques for social science research.
- Documentation: https://nlp4ss.entelecheia.ai
- GitHub: https://github.com/entelecheia/nlp4ss
- PyPI: https://pypi.org/project/nlp4ss
NLP for Social Science (nlp4ss) is a comprehensive, multilingual course and toolkit designed to bridge the gap between natural language processing (NLP) and social science research. This project provides researchers, students, and practitioners with the knowledge and tools to apply cutting-edge NLP techniques to social science questions. It covers a wide range of topics, including text preprocessing, sentiment analysis, topic modeling, and machine learning applications in social contexts. With interactive Jupyter notebooks, hands-on examples, and real-world case studies, nlp4ss offers a practical approach to integrating computational methods into social science research.
Changelog
See the CHANGELOG for more information.
Contributing
Contributions are welcome! Please see the contributing guidelines for more information.
License
This project is released under the CC-BY-4.0 License.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file nlp4ss-0.2.0.tar.gz.
File metadata
- Download URL: nlp4ss-0.2.0.tar.gz
- Upload date:
- Size: 9.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.11.1 readme-renderer/43.0 requests/2.32.3 requests-toolbelt/1.0.0 urllib3/2.2.2 tqdm/4.66.4 importlib-metadata/8.0.0 keyring/25.2.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1d63dc2884c3f5116f1a3566416c0261d2b4e0820a00be311795924ed4269d75 |
|
| MD5 | ab10c0e36930bf477695d1cfc9a9fa76 |
|
| BLAKE2b-256 | bcec224daff20971925a0dfab879d5e5c94d93ca60b826ba763b09f91940e7a3 |
File details
Details for the file nlp4ss-0.2.0-py3-none-any.whl.
File metadata
- Download URL: nlp4ss-0.2.0-py3-none-any.whl
- Upload date:
- Size: 10.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.11.1 readme-renderer/43.0 requests/2.32.3 requests-toolbelt/1.0.0 urllib3/2.2.2 tqdm/4.66.4 importlib-metadata/8.0.0 keyring/25.2.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e87f411e04ea0faf4df3405c737ef6a6286bdea95e98bf5c8b4ce6cf0bbc4ad5 |
|
| MD5 | 3af3a58485b132202b2f744c6431002a |
|
| BLAKE2b-256 | ab0e9d5479f1420125a71f8eb639a469f19820b55cbc51e57702837ad5c03ce1 |
