I want output as ["good customer service","great ambience"] but I am getting ["good customer","good customer service","great ambience"] because pattern is matching with good customer also but this phrase doesn't make any sense. How can I remove these kind of duplicates
import spacy
from spacy.matcher import Matcher
nlp = spacy.load("en_core_web_sm")
doc = nlp("good customer service and great ambience")
matcher = Matcher(nlp.vocab)
# Create a pattern matching two tokens: adjective followed by one or more noun
pattern = [{"POS": 'ADJ'},{"POS": 'NOUN', "OP": '+'}]
matcher.add("ADJ_NOUN_PATTERN", None,pattern)
matches = matcher(doc)
print("Matches:", [doc[start:end].text for match_id, start, end in matches])
You may post-process the matches by grouping the tuples against the start index and only keeping the one with the largest end index:
from itertools import *
#...
matches = matcher(doc)
results = [max(list(group),key=lambda x: x[2]) for key, group in groupby(matches, lambda prop: prop[1])]
print("Matches:", [doc[start:end].text for match_id, start, end in results])
# => Matches: ['good customer service', 'great ambience']
The groupby(matches, lambda prop: prop[1]) will group the matches by the start index, here, resulting in [(5488211386492616699, 0, 2), (5488211386492616699, 0, 3)] and (5488211386492616699, 4, 6). max(list(group),key=lambda x: x[2]) will grab the item where end index (Value #3) is the biggest.