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import feature_extraction.lexicons as lexicons
from utils.constants import REGEX_CONSTANTS
""" List of supported features for feature extraction from Input String """
FEATURE_LIST = ['COMPARE', 'CONTRAST', 'RESULT', 'USE', 'IMPORTANT', 'RESEARCH', 'APPROACH',
'PUBLIC', 'BEFORE', 'BETTER_SOLUTION', 'PROFESSIONALS', 'CITATION', 'ACRONYM',
'CONTAINS_YEAR', 'SEQUENCE', 'REFERENCE', 'PERCENTAGE', 'URL']
""" Features with Regex Pattern Matching - For these features, get the regex pattern from constants"""
REGEX_FEATURES = ['ACRONYM', 'CONTAINS_YEAR', 'SEQUENCE', 'REFERENCE', 'PERCENTAGE', 'URL']
def extract_features_from_text(text: str):
"""
This function takes text string as input, extracts and returns a list of features by checking each word in
:`~feature_extraction.lexicons.ALL_LEXICONS`
:param text: takes string text as param
:return: returns a list of extracted features from the text, empty list for no features
"""
# ALL_LEXICONS
lexicon_dict = lexicons.ALL_LEXICONS
text_feature_list = []
# Iterate through the list features and get list of words from the lexicon dictionary,
# for each word in the word list, check if it appears in input text and add it to the text feature list
for feature in FEATURE_LIST:
# If the feature is Regex Pattern Match, get the pattern from :`~feature_extraction.lexicons.ALL_LEXICONS`
# and match it with the input text
if feature in REGEX_FEATURES:
pattern = REGEX_CONSTANTS[feature]
if bool(pattern.match(text)):
text_feature_list.append(feature)
continue
# If the feature is not a Regex Pattern Match, then get the list of dictionary words from lexicon dictionary
word_list = lexicon_dict[feature]
for word in word_list:
if word in text:
text_feature_list.append(feature)
break
return text_feature_list