Source code for nlp_primitives.title_word_count

# -*- coding: utf-8 -*-
import numpy as np
from featuretools.primitives.base import TransformPrimitive
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double, NaturalLanguage

[docs]class TitleWordCount(TransformPrimitive): """Determines the number of title words in a string. Description: Given list of strings, determine the number of title words in each string. A title word is defined as any word starting with a capital letter. Words at the start of a sentence will be counted. If a string is missing, return `NaN`. Examples: >>> x = ['My favorite movie is Jaws.', 'this is a string', 'AAA'] >>> title_word_count = TitleWordCount() >>> title_word_count(x).tolist() [2.0, 0.0, 1.0] """ name = "title_word_count" input_types = [ColumnSchema(logical_type=NaturalLanguage)] return_type = ColumnSchema(logical_type=Double, semantic_tags={"numeric"}) default_value = 0 def get_function(self): pattern = r"([A-Z][^\s]*)" def title_word_count(x): x = x.reset_index(drop=True) counts = x.str.extractall(pattern).groupby(level=0).count()[0] counts = counts.reindex_like(x).fillna(0) counts[x.isnull()] = np.nan return counts.astype(float) return title_word_count