我发现jieba分词java版,没有提供可以加载停止词(stop words)的接口,stop words 是从如下stop_words.txt在初始化时加载的。 解决 修改stop words后打一个本地的jar包,再通过maven引入本地jar包; 直接修改stop_words.txt文件,注意一行一个词,这里增加了“没有”“默认”“打开”三个词 根目录下面创建一个lib文件...
◾关键词提取所使用停止词(Stop Words)文本语料库可以切换成自定义语料库的路径◦用法: jieba.analyse.set_stop_words(file_name) # file_name为自定义语料库的路径 基于TextRank 算法的关键词抽取 •jieba.analyse.textrank(sentence, topK=20, withWeight=False, allowPOS=(‘ns’, ‘n’, ‘vn’, ‘...
分词、停用词过滤(包括标点) #encoding=utf-8 import jieba filename = "../data/1000页洗好2.txt" stopwords_file = "../data/stop_words2.txt" stop_f = open(stopwords_file,"r",encoding='utf-8') stop_words = list() for line in stop_f.readlines(): line = line.strip() if not len...
sub(r"", line) return line #剔除停用词 def delete_stopwords(lines): stopwords = read_file(stopword_file) all_words = [] for line in lines: all_words += [word for word in jieba.cut(line) if word not in stopwords] dict_words = dict(Counter(all_words)) return dict_words #主函数...
print(len(stop_words)) f = open(filename,"r",encoding='utf-8') result = list() for line in f.readlines(): line = line.strip() if not len(line): continue outstr = '' seg_list = jieba.cut(line,cut_all=False) for word in seg_list: if word not in stop_words: if word !
import jieba import jieba.analyse text = '机器学习,需要一定的数学基础,需要掌握的数学基础知识特别多,如果从头到尾开始学,估计大部分人来不及,我建议先学习最基础的数学知识' stop_words=r'/root/test/python/tmp/pycharm_project_278/stopword.txt' # stop_words 的文件格式是文本文件,每行一个词语 jieba...
1. 增加範例 stop words 語料庫 2. 為了讓 jieba 可以切換 stop words 語料庫,新增 set_stop_words 方法,並改寫 extract_tags 3. test 增加 extract_tags_stop_words.py 測試範例master (fxsjy/jieba#174) v0.36 v0.33 fukuball committed Aug 5, 2014 1 parent 7198d56 commit b658ee6 Showing 3 cha...
analyse.set_stop_words("stop_words.txt") #载入停用词表(上例加入该句) emp1 = Readfile("./word.txt") text = emp1.get_text_file("./word.txt") findWord = analyse.extract_tags(text, topK=10, withWeight=True) for wd, weight in findWord: ...
关键词提取所使用逆向文件频率(IDF)文本语料库和停止词(Stop Words)文本语料库可以切换成自定义语料库的路径。 jieba.analyse.set_stop_words("stop_words.txt")jieba.analyse.set_idf_path("idf.txt.big"); forx,winanls.extract_tags(s,topK=20,withWeight=True):print('%s %s'%(x,w)) ...
import jieba def word_extract(): # 读取文件 corpus = [] path = 'data/news.txt' content = '' for line in open(path, 'r', encoding='utf-8', errors='ignore'): line = line.strip() content += line corpus.append(content) # 加载停用词 stop_words = [] path = 'data/stopword.txt...