I am trying to performing text analysis on Chinese texts. The program is provided below. I got the result with unreadable characters such as 浜烘皯鏃ユ姤绀捐
. And if I change the output file result.csv
to result.txt
, the characters are correct as 人民日报社论
. So what's wrong with this? I can not figure out. I tried several ways including add decoder
and encoder
.
# -*- coding: utf-8 -*-
import os
import glob
import jieba
import jieba.analyse
import csv
import codecs
segList = []
raw_data_path = 'monthly_raw_data/'
file_name = ["201010", "201011", "201012", "201101", "201103", "201105", "201107", "201109", "201110", "201111", "201112", "201201", "201202", "201203", "201205", "201206", "201208", "201210", "201211"]
jieba.load_userdict("customized_dict.txt")
for name in file_name:
all_text = ""
multi_line_text = ""
with open(raw_data_path + name + ".txt", "r") as file:
for line in file:
if line != '\n':
multi_line_text += line
templist = multi_line_text.split('\n')
for text in templist:
all_text += text
seg_list = jieba.cut(all_text,cut_all=False)
temp_text = []
for item in seg_list:
temp_text.append(item.encode('utf-8'))
stop_list = []
with open("stopwords.txt", "r") as stoplistfile:
for item in stoplistfile:
stop_list.append(item.rstrip('\r\n'))
text_without_stopwords = []
for word in temp_text:
if word not in stop_list:
text_without_stopwords.append(word)
segList.append(text_without_stopwords)
with open("results/result.csv", 'wb') as f:
writer = csv.writer(f)
writer.writerows(segList)