Source code for featuretools.primitives.standard.transform.natural_language.number_of_hashtags

from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage

from featuretools.primitives.standard.transform.natural_language.count_string import (
    CountString,
)


[docs]class NumberOfHashtags(CountString): """Determines the number of hashtags in a string. Description: Given a list of strings, determine the number of hashtags in each string. A hashtag is defined as a string that meets the following criteria: - Starts with a '#' character, followed by a sequence of alphanumeric characters containing at least one alphabetic character - Present at the start of a string or after whitespace - Terminated by the end of the string, a whitespace, or a punctuation character other than '#' - e.g. The string '#yes-no' contains a valid hashtag ('#yes') - e.g. The string '#yes#' does not contain a valid hashtag This implementation handles Unicode characters. This implementation does not impose any character limit on hashtags. If a string is missing, return `NaN`. Examples: >>> x = ['#regular #expression', 'this is a string', '###__regular#1and_0#expression'] >>> number_of_hashtags = NumberOfHashtags() >>> number_of_hashtags(x).tolist() [2.0, 0.0, 0.0] """ name = "number_of_hashtags" input_types = [ColumnSchema(logical_type=NaturalLanguage)] return_type = ColumnSchema(logical_type=IntegerNullable, semantic_tags={"numeric"}) default_value = 0
[docs] def __init__(self): pattern = r"((^#)|\s#)(\w*([^\W\d])+\w*)(?![#\w])" super().__init__(string=pattern, is_regex=True, ignore_case=False)