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我正在尝试收集一些已解析为电子表格的推文的情绪数据。我不是最好的编码员，也有一段时间没有编码了，所以我超级生疏。我正在使用几年前在一个项目中使用的旧脚本做同样的事情，并且无法理解它以找出我的错误。任何帮助，将不胜感激！:)

import pandas as pd

import numpy as np

import nltk

nltk.download("vader_lexicon")

def get_sentiment(rating_data):

    """
    https: // github.com / cjhutto / vaderSentiment
    :return:
    """
    from nltk.sentiment.vader import SentimentIntensityAnalyzer
    sid = SentimentIntensityAnalyzer()
    rating_data['sent_neg'] = -10
    rating_data['sent_neu'] = -10
    rating_data['sent_pos'] = -10
    rating_data['sent_compound'] = -10
    for i in range(len(rating_data)):
        sentence = rating_data['Sentences'][i]

        ss = str(sid.polarity_scores(sentence.encode('ascii', 'ignore')))
        print ss['neg']
        rating_data.iloc[i, 1] = float(ss['neg'])
        print rating_data.iloc[i, 1]
        rating_data.iloc[i, 2] = ss['neu']
        rating_data.iloc[i, 3] = ss['pos']
        rating_data.iloc[i, 4] = ss['compound']
    return rating_data

rating_data = pd.read_csv("for-sent.csv", 'r', encoding='ascii', error_bad_lines=False)
rating_data = rating_data.rename(columns={ rating_data.columns[0]: "Sentences" })

sentiment_data = get_sentiment(rating_data)
sentiment_data.to_excel("sentiment.xlsx", index = False)
print " Written to sentiment.xlsx"

回溯（最近一次通话最后）：

第 40 行，sentiment_data = get_sentiment(rating_data)

第 25 行，在 get_sentiment 中打印 ss['neg']

TypeError：字符串索引必须是整数，而不是 unicode

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