Algorithm - python ahocorasick reads text from a local file and performs keyword matching, but the matching fails

Question

Use Python+pyahocorasick to match keywords, which are probably between 10-20 Chinese characters. The text used to construct ahocorasick is read from the local file key_word. The format is as follows: Mother and baby area&lt;Complementary food&lt;Noodles/noodles: infants, toddlers, babies, children, babies noodles, thin noodles,...

仅有的幸福 · Answer

After two days of research, I implemented this function myself
The local file has too many repeated keywords and the matching is not 100%. For reference
The reference code is as follows:

import ahocorasick

A = ahocorasick.Automaton()

titles = ['Hello Kitty3色蔬菜细面300克 婴儿幼儿营养面条宝宝辅食面条']

word_dict = {}

with open('categories.csv', 'r') as f:
    for line in f.readlines():
        line = line.strip()
        word_key = line.split(':')[0]
        word_value = list(line.split(':')[1].split('|'))
        word_dict[word_key] = word_value
        line = (line.split(':')[1].split('|'))
        for word in line:
            if word == "":
                continue
            A.add_word(word, word)

A.make_automaton()

for title in titles:
    category = []
    aa = A.iter(title)
    ret = []
    matches = {}

    for (k,v) in aa:
        matches[v] = 1

    for (k,v) in matches.items():
        ret.append(k)

    for value in word_dict.items():
        if ret[0] in value[1]:
            category.append(value[0]) #关键字太多，所以写死了一个keyword匹配的结果
            #print(ret[0], value[0], value[1]) 
    print(category[0])

Print results: Mother and baby section