Package: nlp-primitives
NLP Primitivesnlp_primitives is a Python library with Natural Language Processing Primitives, intended for use withFeaturetools.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.InstallationThere 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 isUniversalSentenceEncoder.PyPinlp_primitives without Tensorflow can be installed with pip:python-mpipinstallnlp_primitivesconda-forgeor from the conda-forge channel on conda:condainstall-cconda-forgenlp-primitivesThe 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 with pip:python-mpipinstall"nlp_primitives[complete]"or from the conda-forge channel on conda:condainstall-cconda-forgenlp-primitives-completeDemosBlog PostPredict resturant review ratingsCalculating FeaturesWith nlp_primitives primtives infeaturetools, this is how to calculate the same feature.fromfeaturetools.nlp_primitivesimportPolarityScoredata=["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: float64Combining PrimitivesInfeaturetools, this is how to combine nlp_primitives primitives with built-in or other installed primitives.importfeaturetoolsasftfromfeaturetools.nlp_primitivesimportTitleWordCountfromfeaturetools.primitivesimportMeanentityset=ft.demo.load_retail()feature_matrix,features=ft.dfs(entityset=entityset,target_dataframe_name='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                           5.0DevelopmentTo install from source, clone this repo and runmakeinstalldeps-testThis will install all pip dependencies.Built at AlteryxNLP Primitivesis an open source project maintained byAlteryx. To see the other open source projects we’re working on visitAlteryx Open Source. If building impactful data science pipelines is important to you or your business, please get in touch.