Word Cloud
TNFSH Python教材
1. 事前準備
執行本範例前，請先把下列檔案放在教材（程式）所在目錄：
dict.txt.big：jieba 的繁體中文字典檔，可由 jieba 官方 GitHub 下載：https://github.com/fxsjy/jieba/raw/master/extra_dict/dict.txt.bigstopwords.txt：停用詞清單（自行整理，一行一個詞）NotoSansTC-Medium.otf：中文字型檔，可到 Google Fonts 搜尋「Noto Sans TC」下載（https://fonts.google.com/noto/specimen/Noto+Sans+TC ），解壓縮後取出字型檔article.txt：要製作文字雲的文章（UTF-8 純文字檔）
2. 產生文字雲
1: from wordcloud import WordCloud, STOPWORDS 2: import numpy as np 3: import matplotlib.pyplot as plt 4: from PIL import Image 5: import jieba 6: import jieba.analyse 7: from collections import Counter # 次數統計 8: 9: dictfile = "dict.txt.big" # 字典檔（放在程式所在目錄） 10: stopfile = "stopwords.txt" # stopwords（放在程式所在目錄） 11: fontpath = "NotoSansTC-Medium.otf" # 字型檔（放在程式所在目錄） 12: 13: mdfile = "article.txt" # 要分析的文章（放在程式所在目錄） 14: 15: jieba.set_dictionary(dictfile) 16: jieba.analyse.set_stop_words(stopfile) 17: 18: text = open(mdfile,"r",encoding="utf-8").read() 19: 20: tags = jieba.analyse.extract_tags(text, topK=50) 21: 22: seg_list = jieba.lcut(text, cut_all=False) 23: dictionary = Counter(seg_list) 24: 25: freq = {} 26: for ele in dictionary: 27: if ele in tags: 28: freq[ele] = dictionary[ele] 29: print(freq) # 計算出現的次數 30: #wordcloud = WordCloud(width=800, height=400).generate(text) 31: wordcloud = WordCloud(width=1024, height=768, background_color="white", contour_width=3, contour_color='steelblue', font_path= fontpath).generate_from_frequencies(freq) 32: plt.figure() 33: plt.imshow(wordcloud, interpolation="bilinear") 34: plt.axis("off") 35: plt.savefig('wc.png', dpi=600) # 存到目前目錄