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Process and profile text datasets interactively

Project description

Texture: Structured Text Analytics

PyPi

Texture is a system for exploring and creating structured insights with your text datasets.

  1. Interactive Attribute Profiles: Texture visualizes structured attributes alongside your text data in interactive, cross-filterable charts.
  2. Flexible attribute definitions: Attribute charts can come from different tables and any level of a document such as words, sentences, or documents.
  3. Embedding based operations: Texture helps you use vector embeddings to search for similar text and summarize your data.

screenshot of Texture interface

Install and run

Install texture with pip:

pip install texture-viz

Then you can run in a python script or notebook by providing a dataframe with your text data and attributes.

import texture
texture.run(df)

Texture Docs

Texture allows you to customize attribute visualizations based on a schema and configure different tables to tailor how the interface presents your data. For more details and examples, check out our documentation.

Dev install

See DEV.md for dev workflows and setup.

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