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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.
There are two options for installing nlp_primitives. Both of the options will also install Featuretools, if it is not already installed.
The first option is to install a version of nlp_primitives that does not include Tensorflow. With this option, primitives that depend on Tensorflow cannot be used. Currently, the only primitive that can not be used with this install option is
UniversalSentenceEncoder. To install nlp_primitives without Tensorflow run:
pip install nlp_primitives
The second option is to install the complete version of nlp_primitives, which will also install Tensorflow and allow use of all primitives. To install the complete version of nlp_primitives:
pip install "nlp_primitives[complete]"
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
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
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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