python实现情感分析_python编写代码对文本进行情感分析

 `https://api.fanyi.baidu.com/doc/21`

首先我们要下载 textblob包，这是我们代码的关键

pip install textblob

from textblob import TextBlob
import requests
import random
from hashlib import md5
 
appid = 'xxxxx'
appkey = 'xxxxxxx'
 
#  `https://api.fanyi.baidu.com/doc/21`
from_lang = 'auto'
to_lang = 'en'
 
endpoint = 'http://api.fanyi.baidu.com'
path = '/api/trans/vip/translate'
url = endpoint + path
 
def make_md5(s, encoding='utf-8'):
    return md5(s.encode(encoding)).hexdigest()
 
def translate_text(query):
    salt = random.randint(32768, 65536)
    sign = make_md5(appid + query + str(salt) + appkey)
    headers = {'Content-Type': 'application/x-www-form-urlencoded'}
    payload = {'appid': appid, 'q': query, 'from': from_lang, 'to': to_lang, 'salt': salt, 'sign': sign}
    r = requests.post(url, params=payload, headers=headers)
    result = r.json()
    translations = [translation["dst"] for translation in result["trans_result"]]
    return translations
 
def analyze_sentiment(text):
    """分析情感倾向"""
    translations = translate_text(text)
    en_text = translations[0]
    if en_text:
        blob = TextBlob(en_text)
        sentiment = blob.sentiment
 
        polarity = sentiment.polarity
        subjectivity = sentiment.subjectivity
 
        if polarity > 0:
            result = 'positive'
        elif polarity < 0:
            result = 'negative'
        else:
            result = 'neutral'
 
        return result, polarity, subjectivity
    else:
        return None
 
if __name__ == '__main__':
    while True:
        input_text = input("请输入要分析的文本 (输入 'exit' 退出)：")
        if input_text.lower() == 'exit':
            print("感谢使用，再见！")
            break
        result = analyze_sentiment(input_text)
        if result:
            sentiment, polarity, subjectivity = result
            print(f"情感倾向: {sentiment}, 极性: {polarity}, 主观性: {subjectivity}")
        else:
            print("翻译失败，请稍后重试。")

肥肠不错！