enter text and acronym to find what the acronym stands for, if un-abbreviated text of acronym appears in text. assumes text which contains acronym meaning appears before acronym, if acronym is mentioned. case sensitive. Allows for 2 stop words.

acronym_text_matcher.py

from nltk.corpus import stopwords

def find_org(text, acronym):
    # good for abbrevs that are in all caps.
    try:
        text = text.split(acronym)[0]
    except:
        text = text
    orig_text_token_list = text.split(" ")
    text_token_list = [x.title() for x in orig_text_token_list]
    stop_w = [x.title() for x in list(set(stopwords.words("english")))]
    
    potential_match = []
    #if acronym is surrounded by parens, remove
    acronym = acronym.replace("(", "").replace(")", "")
    # return all indices of words that start w first letter of acronym
    for potential_start_idx in [
        i for i, x in enumerate(text_token_list) if x[:1] == acronym[:1]
    ]:
        potential_match.append(text_token_list[potential_start_idx])
        idx = potential_start_idx + 1
        matches = ""
        for i, letter in enumerate(acronym[1:]):
            has_match = False
            stop_word_counter = 0
            
            if text_token_list[idx][:1] == letter:
                potential_match.append(orig_text_token_list[idx])
                matches = matches + letter
                idx = idx + 1
                has_match = True
                
            while stop_word_counter <= 2 and text_token_list[idx] in stop_w:
                potential_match.append(orig_text_token_list[idx])
                stop_word_counter = stop_word_counter + 1
                idx = idx + 1

            if text_token_list[idx][:1] == letter and has_match = False:
                potential_match.append(orig_text_token_list[idx])
                matches = matches + letter
                idx = idx + 1
                has_match = True

        if matches != acronym[1:]:
            potential_match = []
        if matches == acronym[1:]:
            break
    try:
        if potential_match[-1].title() in stop_w:
            potential_match = potential_match[:-1]
        result = " ".join(potential_match)
    except:
        result = None
    return result