12.12品牌监测购买

import requests
from bs4 import BeautifulSoup
import pandas as pd

# 模拟监测指定品牌的社交媒体提及情况
def monitor_brand_mentions(brand_name):
    url = f"https://www.socialmedia.com/search?q={brand_name}"
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    mentions = []
    for item in soup.find_all('div', class_='mention'):
        user = item.find('span', class_='user').text
        content = item.find('p', class_='content').text
        mentions.append({'user': user, 'content': content})
    
    return mentions

# 分析提及的情感倾向（简化示例）
def analyze_sentiment(mentions):
    sentiments = []
    for mention in mentions:
        # 这里可以调用更复杂的情感分析API或模型
        sentiment = 'positive' if 'good' in mention['content'].lower() else 'negative'
        sentiments.append({'user': mention['user'], 'content': mention['content'], 'sentiment': sentiment})
    
    return sentiments

# 主程序
if __name__ == "__main__":
    brand_name = "ExampleBrand"
    mentions = monitor_brand_mentions(brand_name)
    sentiments = analyze_sentiment(mentions)
    
    df = pd.DataFrame(sentiments)
    print(df.head())