使用函数将vaderSentiment结果转换为数据帧

import pandas as pd
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

def sentiment_to_dataframe(text_list):
    # 创建一个空的数据帧
    df = pd.DataFrame(columns=['Text', 'Compound', 'Positive', 'Negative', 'Neutral'])
    
    # 初始化情感分析器
    analyzer = SentimentIntensityAnalyzer()
    
    # 对每个文本进行情感分析并将结果添加到数据帧中
    for text in text_list:
        sentiment = analyzer.polarity_scores(text)
        df = df.append({'Text': text, 'Compound': sentiment['compound'], 
                        'Positive': sentiment['pos'], 'Negative': sentiment['neg'], 
                        'Neutral': sentiment['neu']}, ignore_index=True)
    
    return df

text_list = ['I love this product!', 'This movie is terrible.', 'The weather is nice today.']
result_df = sentiment_to_dataframe(text_list)

print(result_df)