NLP Primitives

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

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.

Release files for nlp-primitives 0.2.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nlp-primitives 0.2.5
File	Size	Uploaded
nlp_primitives-0.2.5.tar.gz	13.3 kB	Apr 20, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for nlp-primitives 0.2.5
File	Interpreter	ABI	Platform	Reset
nlp_primitives-0.2.5-py3-none-any.whl 22.8 kB Apr 20, 2020	Python 3	none	any	Details

Total release size: 36.1 kB

Release files / nlp_primitives-0.2.5.tar.gz

Download URL	nlp_primitives-0.2.5.tar.gz
Size	13.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`886ea395036cce140c38dbd9b3076fe11c9793a14fc5093478567b1e22b50452`
BLAKE2b-256 checksum How to use checksums	`4d7f4cb5e780e934dcf433688b3e16c9168f5e217ebffeb3c39debc7d1c56802`
Upload date	Apr 20, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7`

Release files / nlp_primitives-0.2.5-py3-none-any.whl

Download URL	nlp_primitives-0.2.5-py3-none-any.whl
Size	22.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cc5cebad78d60619e5d82596a976d7ebb049bb3c46be65eca5048f1d36c6371b`
BLAKE2b-256 checksum How to use checksums	`d5e09fdfd1fb3acb41dfab290ab308f9533b775e9ab2403a8082f0c106718393`
Upload date	Apr 20, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7`