[python] 워드 클라우드

코랩 ipynb -> md 변환

from google.colab import drive
drive.mount("/content/drive")
!jupyter nbconvert --to markdown "/content/drive/MyDrive/Colab Notebooks/wordcloud.ipynb"

코랩 - 나눔 폰트 설치

!sudo apt-get install -y fonts-nanum
!sudo fc-cache -fv
!rm ~/.cache/matplotlib -rf

워드 클라우드 소스 코드

!pip install wordcloud
!pip install konlpy
!pip install collection
!pip install requests
!pip install bs4

from bs4 import BeautifulSoup
import requests
from konlpy.tag import Twitter
from collections import Counter
from wordcloud import WordCloud
import matplotlib.pyplot as plt

search_word = "안산공업고등학교"
start_num = 1
title_list = []
#print(req)

def get_title(start_num, end_num) :
  
  while start_num <= end_num :
    url = 'https://search.naver.com/search.naver?where=news&sm=tab_jum&query={}&start={}'.format(search_word,start_num)
    req = requests.get(url)
    
    if req.ok :
      html = req.text
      soup = BeautifulSoup(html, "html.parser")
      #print(soup)  
      titles = soup.select('.news_tit')
      for title in titles :
        title_list.append(title['title'])
    start_num += 1
  #print(title_list)
  #print(len(title_list))
get_title(1, 10)

def make_wordcloud(word_count) :
  twitter = Twitter()
  sentences_tag = []
  for sentence in title_list :
    morph = twitter.pos(sentence)
    sentences_tag.append(morph)
    #print(morph)
    #print("-" * 30)
  #print(sentences_tag)
  #print("\n" * 3)

  noun_adj_list = []

  for sentence in sentences_tag :
    for word, tag in sentence :
      if tag in ['Noun', 'Adjective'] :
        noun_adj_list.append(word)
    
  counts = Counter(noun_adj_list)
  tags = counts.most_common(word_count)
  #print(tags)
  
  wc = WordCloud(font_path = '/usr/share/fonts/truetype/nanum/NanumBarunGothic.ttf', background_color='white', width=800, height=600)
  print(dict(tags))
  plt.rc('font', family='NanumBarunGothic')
  cloud = wc.generate_from_frequencies(dict(tags))
  plt.figure(figsize=(10,8))
  plt.axis('off')
  plt.imshow(cloud)
  plt.show()


make_wordcloud(10)