webcrawling0203.py 文件源码

def analyze(content):
    # ????? ???? content ? string ??? ????
    # ????? ??? nouns ?? ??? ??
    nouns=t.nouns(str(content))

    # ????? ??
    trash=["??","????","??","??","??","??","?????"]
    for i in trash:
        for j in nouns:
            if i==j:
                nouns.remove(i)

    ko=nltk.Text(nouns,name="??")

    #ranking??? ??? ????? ??
    ranking=ko.vocab().most_common(100)
    tmpData=dict(ranking)

    # ?????? ??
    wordcloud=WordCloud(font_path="/Library/Fonts/AppleGothic.ttf",relative_scaling=0.2,background_color="white",).generate_from_frequencies(tmpData)

    #matplotlib ?????? ?? ??????? ??? ???? ???
    plt.figure(figsize=(16,8))
    plt.imshow(wordcloud)
    plt.axis("off")
    plt.show()




# ??? ??(??? ????? ???? ???? ? ?????? ??? ??)