tweet.py 文件源码

def tweet_connotation(tweet):
    """ Decide whether a tweet is generally positive or negative """
    anlyzr = SentimentIntensityAnalyzer()
    # break tweet up into sentences and analyze each seperately
    twtcontent = sent_tokenize(tweet)
    overall = {'compound': 0, 'neg': 0, 'neu': 0, 'pos': 0}
    for s in twtcontent:
        scores = anlyzr.polarity_scores(s)
        # tally up each sentence's overall tone
        for i, z in enumerate(scores):
            overall[z] += scores[z]
    # average it all together for the tweet as a whole
    for v in overall:
        overall[v] = round(overall[v] / len(twtcontent), 3)
    return overall