AI代码解释 print('How are you?')feeling=input()iffeeling.lower()=='great':print('I feel great too.')else:print('I hope the rest of your day is good.') 当你运行这个程序时,问题被显示出来,在great上输入一个变量,比如GREat,仍然会给出输出I feel great
words = jieba.cut(text, cut_all=False) # 转换成列表并打印出来 words_list = list(words) print(words_list) 2)去除停用词 中文文本与英文文本处理有所不同,主要是因为中文文本需要进行分词处理,而且中文停用词(即在文本中频繁出现但对于理解文本主题贡献不大的词,如“的”、“了”、“在”等)的去除也是...
1、加载基础词汇 bw = open('data/basic_words.txt')basicwords = []for eachLine in bw:basicwords.append(sw.simplify_word(re.split("[^A-Za-z]", eachLine)[0].lower())) #print re.split("[^A-Za-z]", eachLine)[0]print(len(list(set(basicwords)))basicwords = list(set(basicwo...
Version 2 list Version 3 array Version 4 结构化数组 Version 5 区分单元且打乱顺序 Version 6 可视化 三、txt文件外研社小学英语五年级下册(三年级起点)单词表(带音标): 前言 缘起自懒得考小孩儿单词,最终效果如图: 在这里插入图片描述 本文记录了英语单词文本处理过程,生成“试卷” PS:单词docx文件来源于百度...
for_stmt: 'for' exprlist 'in' testlist ':' suite ['else' ':' suite] Where exprlist is the assignment target. This means that the equivalent of {exprlist} = {next_value} is executed for each item in the iterable. An interesting example that illustrates this: for i in range(4):...
Please Input A English Words:Reading Readingly 1. 2.# python3:符串常用操作 s1 = '字符串s1:信息。' s2 = '字符串s2' s3 = 1234 # 拼接字符串+ print('s1=',s1,'\ns2=',s2,'\ns3=',s3) print('拼接字符串(同类型)s1+s2:',s1+s2) print('拼接字符串(不同类型)s1+s2+str(s3):',...
_, predictionlabel = torch.max(preds.data, 1) predictionlabel = predictionlabel.tolist() predictionlabel = pd.Series(predictionlabel) test_labels = pd.Series(test_labels) pred_table = pd.concat([predictionlabel, test_labels], axis=1) pred_table.columns =['Predicted Value', 'True Value']...
otherwordlist.append(a) #print a return a 4、加载大纲词汇 dagang = open('data/5495大纲词汇.txt') dagangwords = [] for eachLine in dagang: dagangwords.append(sw.simplify_word(re.split("[^A-Za-z]", eachLine)[0].lower()))
Write a Python program that prints long text, converts it to a list, and prints all the words and the frequency of each word. Sample Solution: Python Code : # Define a multiline string containing a passage about the United States Declaration of Independence.string_words='''United States De...
max_edit_distance_lookup = 2 suggestion_verbosity = Verbosity.TOP # TOP, CLOSEST, ALL #End of Spell checker config token_list = text.split() for word_pos in range(len(token_list)): word = token_list[word_pos] if word is None: token_list[word_pos] = "" c...