欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页  >  IT编程

用 Python分析朋友圈好友的签名

程序员文章站 2022-05-04 14:13:40
需要用到的第三方库: numpy:本例结合wordcloud使用 jieba:对中文惊进行分词 PIL: 对图像进行处理(本例与wordcloud结合使用) snowlp:对文本信息进行情感判断 wordcloud:生成词云matplotlib:绘制2D图形 效果图 ......

需要用到的第三方库:

numpy:本例结合wordcloud使用

jieba

pil: 对图像进行处理(本例与wordcloud结合使用)

snowlp

wordcloud
matplotlib:绘制2d图形

# -*- coding: utf-8 -*-
"""
朋友圈朋友签名的词云生成以及
签名情感分析
想要学习python?python学习交流群:984632579满足你的需求,资料都已经上传群文件,可以自行下载!
"""
import re,jieba,itchat
import jieba.analyse
import numpy as np
from pil import image
from snownlp import snownlp
from wordcloud import wordcloud
import matplotlib.pyplot as plt
itchat.auto_login(hotreload=true)
friends = itchat.get_friends(update=true)
def analysesignature(friends):
    signatures = ''
    emotions = []
    for friend in friends:
        signature = friend['signature']
        if(signature != none):
            signature = signature.strip().replace('span', '').replace('class', '').replace('emoji', '')
            signature = re.sub(r'1f(\d.+)','',signature)
            if(len(signature)>0):
                nlp = snownlp(signature)
                emotions.append(nlp.sentiments)
                signatures += ' '.join(jieba.analyse.extract_tags(signature,5))
    with open('signatures.txt','wt',encoding='utf-8') as file:
         file.write(signatures)

    # 朋友圈朋友签名的词云相关属性设置
    back_coloring = np.array(image.open('alice_color.png'))
    wordcloud = wordcloud(
        font_path='simfang.ttf',
        background_color="white",
        max_words=1200,
        mask=back_coloring, 
        max_font_size=75,
        random_state=45,
        width=1250, 
        height=1000, 
        margin=15
    )
    
    #生成朋友圈朋友签名的词云
    wordcloud.generate(signatures)
    plt.imshow(wordcloud)
    plt.axis("off")
    plt.show()
    wordcloud.to_file('signatures.jpg')#保存到本地文件

    # signature emotional judgment
    count_good = len(list(filter(lambda x:x>0.66,emotions)))#正面积极
    count_normal = len(list(filter(lambda x:x>=0.33 and x<=0.66,emotions)))#中性
    count_bad = len(list(filter(lambda x:x<0.33,emotions)))#负面消极
    labels = [u'负面消极',u'中性',u'正面积极']
    values = (count_bad,count_normal,count_good)
    plt.rcparams['font.sans-serif'] = ['simhei'] 
    plt.rcparams['axes.unicode_minus'] = false
    plt.xlabel(u'情感判断')#x轴
    plt.ylabel(u'频数')#y轴
    plt.xticks(range(3),labels)
    plt.legend(loc='upper right',)
    plt.bar(range(3), values, color = 'rgb')
    plt.title(u'%s的微信好友签名信息情感分析' % friends[0]['nickname'])
    plt.show()
analysesignature(friends)

效果图

用 Python分析朋友圈好友的签名