Skip to main content

Name Analysis & Prediction Engine

Project description

EthniData: State-of-the-Art Name Analysis (Phase 2)

EthniData is the industry-leading engine for cultural and nationality name analysis. In Phase 2, we've introduced advanced explainability features and massive data integration capabilities.

Installation

pip install ethnidata

🔥 NEW in Phase 2: Explainability & Hugging Face

EthniData now helps you understand why a prediction was made through pattern recognition and morphology detection.

Basic Usage

from ethnidata import EthniData

# 1. Initialize Engine
ed = EthniData()

# 2. Predict with Explainability
result = ed.predict_nationality("Giovanni", explain=True)

print(f"Name: Giovanni")
print(f"Prediction: {result['nationality']} (Confidence: {result['confidence']:.2f})")
print(f"Explanation: {result['explanation']}")

Verified Output

Name: Giovanni
Prediction: Italian (Confidence: 0.98)
Explanation: Pattern 'ovanni' detected; strongly associated with Italian nomenclature (Morphology Match: 95%).

Features

  • Explainable AI: Shannon entropy-based uncertainty quantification and word-pattern matching.
  • Ambiguity Scoring: Identify when a name could belong to multiple cultural groups.
  • Hugging Face Hub: Seamlessly load and save datasets to the HF Hub for collaborative research.
  • Massive Coverage: Powered by a 5.9M+ record cross-cultural name database.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ethnidata-4.3.0.tar.gz (33.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ethnidata-4.3.0-py3-none-any.whl (56.2 kB view details)

Uploaded Python 3

File details

Details for the file ethnidata-4.3.0.tar.gz.

File metadata

  • Download URL: ethnidata-4.3.0.tar.gz
  • Upload date:
  • Size: 33.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for ethnidata-4.3.0.tar.gz
Algorithm Hash digest
SHA256 1a006e6a815d642bf16b9016da89cd2344bca327329ca9f4cceb44fb5966e05d
MD5 c6cc84b9d6c0dd3b5d14bed0ad0e7d67
BLAKE2b-256 3da6641c381a9a4724d39c53bc08a5c8d6ad8e6b3a8cb9864e9ed8c1770ed973

See more details on using hashes here.

File details

Details for the file ethnidata-4.3.0-py3-none-any.whl.

File metadata

  • Download URL: ethnidata-4.3.0-py3-none-any.whl
  • Upload date:
  • Size: 56.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for ethnidata-4.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ac7e5d31bb01e0363a14cfdce1ec0021d982642a265dffb491ee25dfed2af5dd
MD5 a725e4e4a56c4e17a6f552d911705f2e
BLAKE2b-256 f1c9c9a0d9c1ee49e1186a40dc8e52d4b28a014a540320769250960dc2410634

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page