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NLP Primitives

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nlp_primitives is a Python library with Natural Language Processing Primitives, intended for use with Featuretools.

nlp_primitives allows you to make use of text data in your machine learning pipeline in the same pipeline as the rest of your data.

Install

pip install 'featuretools[nlp_primitives]'

Demos

Calculating Features

With nlp_primitives primtives in featuretools, this is how to calculate the same feature.

from featuretools.nlp_primitives import PolarityScore

data = ["hello, this is a new featuretools library",
        "this will add new natural language primitives",
        "we hope you like it!"]

pol = PolarityScore()
pol(data)
0    0.365
1    0.385
2    1.000
dtype: float64

Combining Primitives

In featuretools, this is how to combine nlp_primitives primitives with built-in or other installed primitives.

import featuretools as ft
from featuretools.nlp_primitives import TitleWordCount
from featuretools.primitives import Mean

entityset = ft.demo.load_retail()
feature_matrix, features = ft.dfs(entityset=entityset, target_entity='products', agg_primitives=[Mean], trans_primitives=[TitleWordCount])

feature_matrix.head(5)
           MEAN(order_products.quantity)  MEAN(order_products.unit_price)  MEAN(order_products.total)  TITLE_WORD_COUNT(description)
product_id
10002                         16.795918                          1.402500                   23.556276                           3.0
10080                         13.857143                          0.679643                    8.989357                           3.0
10120                          6.620690                          0.346500                    2.294069                           2.0
10123C                         1.666667                          1.072500                    1.787500                           3.0
10124A                           3.2000                            0.6930                      2.2176                           5.0

Feature Labs

Featuretools

NLP Primitives is an open source project created by Feature Labs. To see the other open source projects we're working on visit Feature Labs Open Source. If building impactful data science pipelines is important to you or your business, please get in touch.

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