运行情感词典Python代码报'utf-8' codec can't decode byte 0xf3错误如何解决

该UnicodeDecodeError由文件编码不匹配导致：读取positive.txt、negative.txt时Python默认使用utf-8编码解码，但你的两个语料文件实际编码并非utf-8，字节0xf3不属于utf-8合法字符范围，因此触发解码失败。

方法一：指定兼容编码打开（推荐） #

新增encoding='latin-1'参数打开文件即可，latin-1为单字节编码，可兼容所有单字节字符，不会出现解码报错。同时可直接遍历文件对象逐行读取，避免大文件读取时内存占用过高：

from textblob import TextBlob

pos_count = 0
pos_correct = 0

with open("positive.txt","r", encoding='latin-1') as f:
    for line in f:
        analysis = TextBlob(line)
        if analysis.sentiment.polarity > 0:
            pos_correct += 1
        pos_count +=1


neg_count = 0
neg_correct = 0

with open("negative.txt","r", encoding='latin-1') as f:
    for line in f:
        analysis = TextBlob(line)
        if analysis.sentiment.polarity <= 0:
            neg_correct += 1
        neg_count +=1

print("Positive accuracy = {}% via {} samples".format(pos_correct/pos_count*100.0, pos_count))
print("Negative accuracy = {}% via {} samples".format(neg_correct/neg_count*100.0, neg_count))

方法二：忽略解码错误 #

如果确认部分异常字符不影响最终准确率，也可添加errors='ignore'参数，直接跳过无法解码的字节：

# 示例写法，两个文件打开都可添加该参数
with open("positive.txt","r", encoding='utf-8', errors='ignore') as f:

内容的提问来源于stack exchange，提问作者Radhika Singh