TweetProcessing

TweetNormalizer.py

from nltk.tokenize import TweetTokenizer
from emoji import demojize
import re

tokenizer = TweetTokenizer()


def normalizeToken(token):
    lowercased_token = token.lower()
    if token.startswith("@"):
        return "@USER"
    elif lowercased_token.startswith("http") or lowercased_token.startswith("www"):
        return "HTTPURL"
    elif len(token) == 1:
        return demojize(token)
    else:
        if token == "’":
            return "'"
        elif token == "…":
            return "..."
        else:
            return token


def normalizeTweet(tweet):
    tokens = tokenizer.tokenize(tweet.replace("’", "'").replace("…", "..."))
    normTweet = " ".join([normalizeToken(token) for token in tokens])

    normTweet = normTweet.replace("cannot ", "can not ").replace("n't ", " n't ").replace("n 't ", " n't ").replace("ca n't", "can't").replace("ai n't", "ain't")
    normTweet = normTweet.replace("'m ", " 'm ").replace("'re ", " 're ").replace("'s ", " 's ").replace("'ll ", " 'll ").replace("'d ", " 'd ").replace("'ve ", " 've ")
    normTweet = normTweet.replace(" p . m .", "  p.m.").replace(" p . m ", " p.m ").replace(" a . m .", " a.m.").replace(" a . m ", " a.m ")

    normTweet = re.sub(r",([0-9]{2,4}) , ([0-9]{2,4})", r",\1,\2", normTweet)
    normTweet = re.sub(r"([0-9]{1,3}) / ([0-9]{2,4})", r"\1/\2", normTweet)
    normTweet = re.sub(r"([0-9]{1,3})- ([0-9]{2,4})", r"\1-\2", normTweet)

    return " ".join(normTweet.split())


if __name__ == "__main__":
    print(normalizeTweet(
        "SC has first two presumptive cases of coronavirus, DHEC confirms https://postandcourier.com/health/covid19/sc-has-first-two-presumptive-cases-of-coronavirus-dhec-confirms/article_bddfe4ae-5fd3-11ea-9ce4-5f495366cee6.html?utm_medium=social&utm_source=twitter&utm_campaign=user-share… via @postandcourier"))