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A library for processing text features in a dataframe.

Project description

text-features

PyPi

A library for processing text features in a dataframe.

Dependencies :globe_with_meridians:

Python 3.11.6:

Raison D'être :thought_balloon:

textfeats transforms text into values that can be used by a model.

Architecture :triangular_ruler:

textfeats is a functional library, meaning that each phase of feature extraction gets put through a different function until the final output. The features its computes are as follows:

  1. Embeddings

Installation :inbox_tray:

This is a python package hosted on pypi, so to install simply run the following command:

pip install textfeats

or install using this local repository:

python setup.py install --old-and-unmanageable

Usage example :eyes:

The use of textfeatures is entirely through code due to it being a library. It attempts to hide most of its complexity from the user, so it only has a few functions of relevance in its outward API.

Generating Features

To generate features:

import datetime

import pandas as pd

from textfeats.process import process

df = ... # Your timeseries dataframe
df = process(df, dimensions=16)

This will produce a dataframe that contains the new text related features.

License :memo:

The project is available under the MIT License.

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