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The search analysis library contains multiple tools to help you analyze ranking and explain ranking differences from search systems.

Project description

Search Analysis

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The search analysis library contains multiple tools to help you analyze your search engine approach.

  • Free software: MIT license

  • Documentation: Coming soon

Features

Use-Case: Analyze Single Approach

  • Get Metrics: Precision, Recall, F-Score

  • Find queries that perform especially bad/good

  • Analyze false positives, false negatives and true positives

  • For every query get score, field value, highlighting

Use-Case Compare Two Approaches

  • Visualization of metrics side by side

  • Find queries with biggest difference

  • Analyze false positives, false negatives, true positives and calculate disjoint sets

  • Get scores visualized side by side

(For now it’s only possible to work with Elasticsearch)

Help

For questions you can contact us via E-Mail or through our website (https://www.pragmalingu.de/).

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2021-03-16)


  • First release on PyPI.

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