在Python中生成单词云-yiteyi-C++库

Word Cloud是一种数据可视化技术，用于表示文本数据，其中每个单词的大小表示其频率或重要性。重要的文本数据点可以使用单词云突出显示。词云被广泛用于分析社交网络网站的数据。

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要在Python中生成word cloud，需要的模块有：matplotlib、pandas和wordcloud。要安装这些软件包，请运行以下命令：

pip install matplotlibpip install pandaspip install wordcloud

用于生成单词云的数据集来自UCI机器学习库。它包括YouTube上对流行艺术家视频的评论。数据集链接： https://archive.ics.uci.edu/ml/machine-learning-databases/00380/

以下是实施情况：

Python3

                         # Python program to generate WordCloud                       
           
                         # importing all necessary modules                       
                         from                                     wordcloud                                     import                                     WordCloud, STOPWORDS                       
                         import                                     matplotlib.pyplot as plt                       
                         import                                     pandas as pd                       
           
                         # Reads 'Youtube04-Eminem.csv' file                       
                         df                                     =                                     pd.read_csv(r                                     "Youtube04-Eminem.csv"                                     , encoding                                     =                                     "latin-1"                                     )                       
           
                         comment_words                                     =                                     ''                       
                         stopwords                                     =                                     set                                     (STOPWORDS)                       
           
                         # iterate through the csv file                       
                         for                                     val                                     in                                     df.CONTENT:                       
                                   
                                                 # typecaste each val to string                       
                                                 val                                     =                                     str                                     (val)                       
           
                                                 # split the value                       
                                                 tokens                                     =                                     val.split()                       
                                   
                                                 # Converts each token into lowercase                       
                                                 for                                     i                                     in                                     range                                     (                                     len                                     (tokens)):                       
                                                 tokens[i]                                     =                                     tokens[i].lower()                       
                                   
                                                 comment_words                                     +                                     =                                     " "                                     .join(tokens)                                     +                                     " "                       
           
                         wordcloud                                     =                                     WordCloud(width                                     =                                     800                                     , height                                     =                                     800                                     ,                       
                                                 background_color                                     =                                     'white'                                     ,                       
                                                 stopwords                                     =                                     stopwords,                       
                                                 min_font_size                                     =                                     10                                     ).generate(comment_words)                       
           
                         # plot the WordCloud image                       
                         plt.figure(figsize                                     =                                     (                                     8                                     ,                                     8                                     ), facecolor                                     =                                     None                                     )                       
                         plt.imshow(wordcloud)                       
                         plt.axis(                                     "off"                                     )                       
                         plt.tight_layout(pad                                     =                                     0                                     )                       
           
                         plt.show()                       