7-35 词频统计 (30 分)

本文介绍了一种算法,用于统计和分析英文文本中所有不同单词的数量及词频最高的前10%单词。该算法考虑了单词的大小写不敏感性,并对长度超过15个字符的单词进行截断。

7-35 词频统计 (30 分)

请编写程序,对一段英文文本,统计其中所有不同单词的个数,以及词频最大的前10%的单词。

所谓“单词”,是指由不超过80个单词字符组成的连续字符串,但长度超过15的单词将只截取保留前15个单词字符。而合法的“单词字符”为大小写字母、数字和下划线,其它字符均认为是单词分隔符。

输入格式:

输入给出一段非空文本,最后以符号#结尾。输入保证存在至少10个不同的单词。

输出格式:

在第一行中输出文本中所有不同单词的个数。注意“单词”不区分英文大小写,例如“PAT”和“pat”被认为是同一个单词。

随后按照词频递减的顺序,按照词频:单词的格式输出词频最大的前10%的单词。若有并列,则按递增字典序输出。

输入样例:

This is a test.

The word "this" is the word with the highest frequency.

Longlonglonglongword should be cut off, so is considered as the same as longlonglonglonee.  But this_8 is different than this, and this, and this...#
this line should be ignored.

输出样例:(注意:虽然单词the也出现了4次,但因为我们只要输出前10%(即23个单词中的前2个)单词,而按照字母序,the排第3位,所以不输出。)

23
5:this
4:is

题意:略;

题解:水题,看代码吧,代码里有解释。

 

#include <iostream>
#include <algorithm>
#include <map>
#include <vector>
using namespace std;
typedef pair<string,int> pa;
map<string,int> mp;
vector<pa> v;
bool cmp(pa x,pa y){//map排序,记住就好
	if(x.second==y.second) return x.first < y.first;
	else return x.second > y.second;
}
int main(){
	string s;
	while(cin >> s){
		string w="";
		for (int i = 0; i < s.size();i++){//大写换成小写,因为题目说不区分大小写
			if(s[i]>='A'&&s[i]<='Z') s[i]=s[i]-'A'+'a';
		}
		for (int i = 0; i < s.size();i++){
			if(s[i]>='a'&&s[i]<='z'||s[i]>='0'&&s[i]<='9'||s[i]=='_') w+=s[i];
			else {//看是否有分隔符
				if(w.size()>15){//看是否大于15
					string r="";
					for (int j = 0; j < 15;j++) r+=w[j];
					mp[r]++;
				}
				else if(w!="") mp[w]++;//注意w是空不能作为一个字符串
				w="";
			}
		}
		if(w.size()>15){//看是否大于15
			string r="";
			for (int j = 0; j < 15;j++) r+=w[j];
			mp[r]++;
		}
		else if(w!="") mp[w]++;//注意w是空不能作为一个字符串
		if(s[s.size()-1]=='#') break;
	}
	int x=mp.size()*0.1;
	cout << mp.size() << endl;
	map<string,int>::iterator it;
	for (it=mp.begin();it!=mp.end();it++) v.push_back(*it);
	sort(v.begin(),v.end(),cmp);//按题目里说的排序
	for (int i = 0; i < x;i++){
		cout << v[i].second << ":" << v[i].first << endl;
	}
	return 0;
}

 

# 导入必要的库 import requests import warnings import pyecharts from bs4 import BeautifulSoup from pyecharts.options import opts from pyecharts.charts import WordCloud import jieba import random # 关闭pyecharts和warnings的警告信息 pyecharts.globals._WarningControl.ShowWarning = False warnings.filterwarnings('ignore') # 随机选择UA USER_AGENTS = [ "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser;.NET CLR 1.1.4322;.NET CLR 2.0.50727)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1;.NET CLR 2.0.50727; Media Center PC 5.0;.NET CLR 3.0.04506)", "Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1;.NET CLR 1.1.4322;.NET CLR 2.0.50727)", "Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0;.NET CLR 3.5.30729;.NET CLR 3.0.30729;.NET CLR 2.0.50727; Media Center PC 6.0)", "Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2;.NET CLR 2.0.50727;.NET CLR 3.5.30729;.NET CLR 3.0.30729;.NET CLR 1.0.3705;.NET CLR 1.1.4322)", "Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2;.NET CLR 1.1.4322;.NET CLR 2.0.50727; InfoPath.2;.NET CLR 3.0.04506.30)", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)", "Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6", "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0", "Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5", "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20", "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52" ] # 爬取诗词名句网上的西游记小说 url = "https://www.shicimingju.com/book/xiyouji.html" headers = {"user-agent": random.choice(USER_AGENTS)} response = requests.get(url=url, headers=headers) response.encoding = "utf-8" page_text = response.text soup = BeautifulSoup(page_text, 'lxml') li_list = soup.select('div.list >a') fp = open("xiyouji.txt", 'w', encoding="utf-8") for li in li_list: title = li.text each_url = "https://www.shicimingju.com/" + li["href"] detail_response = requests.get(each_url, headers=headers) detail_response.encoding = "utf-8" detail_page_test = detail_response.text detail_soup = BeautifulSoup(detail_page_test, 'lxml') div_tag = detail_soup.select(".chapter_content") fp.write(title + "\n") for i in div_tag: content = i.text fp.write(content + '\n') print(title + ":爬取成功") print("爬取成功") fp.close() # 西游词频统计 txt = open("xiyouji.txt", "r", encoding="utf-8").read() words = jieba.lcut(txt) counts = {} for word in words: if len(word) == 1: continue else: counts[word] = counts.get(word, 0) + 1 items = list(counts.items()) items.sort(key=lambda x: x[1], reverse=True) print(items) # 西游记wordcloud实现 c = WordCloud() c.add(series_name="西游记析", data_pair=items, word_size_range=[6, 66]) c.set_global_opts( title_opts=opts.TitleOpts( title="西游记析", title_textstyle_opts=opts.TextStyleOpts(font_size=23) ), tooltip_opts=opts.TooltipOpts(is_show=True) ) c.render_notebook() # 去除西游记无效词汇,再次统计词频 txt = open("xiyouji.txt", "r", encoding="utf-8").read() excludes = {"那里", "一个", "只见", "怎么", "两个", "没有", "不是", "不知", "这个", "听见"} words = jieba.lcut(txt) counts = {} for word in words: if len(word) == 1: continue elif word == "行者" or word == "大圣" or word == "老孙" or word == "孙悟空": rword = "悟空" elif word == "师父" or word == "三藏" or word == "唐僧": rword = "唐僧" elif word == "呆子" or word == "八戒" or word == "悟能": rword = "猪八戒" elif word == "沙僧" or word == "沙和尚" or word == "悟净": rword = "沙僧" else: rword = word counts[rword] = counts.get(rword, 0) + 1 for word in excludes: del counts[word] items = list(counts.items()) items.sort(key=lambda x: x[1], reverse=True) print(items) # 去除无效词汇后再次实现西游记wordcloud c = WordCloud() c.add(series_name="西游记析", data_pair=items, word_size_range=[6, 66]) c.set_global_opts( title_opts=opts.TitleOpts( title="西游记析", title_textstyle_opts=opts.TextStyleOpts(font_size=23) ), tooltip_opts=opts.TooltipOpts(is_show=True) ) c.render_notebook( ) # 自定义西游记wordcloud的字体和颜色 from pyecharts.globals import SymbolType c = WordCloud() c.add( "", items, word_size_range=[20, 100], shape=SymbolType.DIAMOND, textstyle_opts=opts.TextStyleOpts(font_family="SimHei") ) c.set_global_opts( title_opts=opts.TitleOpts(title="西游记人物词云"), toolbox_opts=opts.ToolboxOpts(is_show=True) ) c.render_notebook() ImportError Traceback (most recent call last) <ipython-input-9-419798668e35> in <module> 4 import pyecharts 5 from bs4 import BeautifulSoup ----> 6 from pyecharts.options import opts 7 from pyecharts.charts import WordCloud 8 import jieba ImportError: cannot import name 'opts' from 'pyecharts.options' (D:\Anaconda3\lib\site-packages\pyecharts\options\__init__.py)
05-15
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