import reimport jieba.analyseimport codecsimport pandas as pddef simplification_text(xianbingshi): '''提取文本''' xianbingshi_simplification = [] with codecs.open(xianbingshi,’r’,’utf8’) as f:for line in f : line = line.strip() line_write = re.findall(’(?<=<b>).*?(?=<e>)’,line) for line in line_write:xianbingshi_simplification.append(line) with codecs.open(r’C:UsersAdministrator.SC-201812211013PycharmProjectsuntitled29yiwoqucodexianbingshi_write.txt’,’w’,’utf8’) as f:for line in xianbingshi_simplification: f.write(line + ’n’)def jieba_text(): '''''' word_list = [] data = open(r'C:UsersAdministrator.SC-201812211013PycharmProjectsuntitled29xianbingshi_write.txt', encoding=’utf-8’).read() seg_list = jieba.cut(data, cut_all=False) # 精確模式 for i in seg_list:word_list.append(i.strip()) data_quchong = pd.DataFrame({’a’:word_list}) data_quchong.drop_duplicates(subset=[’a’],keep=’first’,inplace=True) word_list = data_quchong[’a’].tolist() with codecs.open(’word.txt’,’w’,’utf8’)as w:for line in word_list: w.write(line + ’n’)def word_messy(word): '''詞語提煉''' word_sub_list = [] with codecs.open(word,’r’,’utf8’) as f:for line in f: line_sub = re.sub('^[1-9]d*.d*|^[A-Za-z0-9]+$|^[0-9]*$|^(-?d+)(.d+)?$|^[A-Za-z0-9]{4,40}.*?',’’,line) word_sub_list.append(line_sub) word_sub_list.sort() with codecs.open(’word.txt’,’w’,’utf8’)as w:for line in word_sub_list: w.write(line.strip('n') + ’n’)if __name__ == ’__main__’: xianbingshi = r’C:UsersAdministrator.SC-201812211013PycharmProjectsuntitled29yiwoquxianbingshi_sub_sen_all(1).txt’ # simplification_text(xianbingshi) # word = r’C:UsersAdministrator.SC-201812211013PycharmProjectsuntitled29word.txt’ simplification_text(xianbingshi)

補(bǔ)充：python 進(jìn)行結(jié)巴分詞 并且用re去掉符號(hào)

# 把停用詞做成字典stopwords = {}fstop = open(’stop_words.txt’, ’r’,encoding=’utf-8’,errors=’ingnore’)for eachWord in fstop: stopwords[eachWord.strip()] = eachWord.strip() #停用詞典fstop.close()f1=open(’all.txt’,’r’,encoding=’utf-8’,errors=’ignore’)f2=open(’allutf11.txt’,’w’,encoding=’utf-8’)line=f1.readline()while line: line = line.strip() #去前后的空格 line = re.sub(r'[0-9s+.!/_,$%^*()?;；:-【】+'’]+|[+——！，;:。？、~@#￥%……&*（）]+', ' ', line) #去標(biāo)點(diǎn)符號(hào) seg_list=jieba.cut(line,cut_all=False) #結(jié)巴分詞 outStr='' for word in seg_list:if word not in stopwords: outStr+=word outStr+=' ' f2.write(outStr) line=f1.readline()f1.close()f2.close()

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