汽车IVI中控开发入门及进阶（三十一）：视频知识扫盲

基于Python/flask的微博舆情数据分析可视化系统
python爬虫数据分析可视化项目
编程语言：python
涉及技术：flask mysql echarts SnowNlP情感分析 文本分类

系统设计的功能：
①用户注册登录
②微博数据描述性统计、热词统计、舆情统计
③微博数据分析可视化，文章分析、IP分析、评论分析、舆情分析
④文章内容词云图

核心算法代码分享如下：

from utils.getPublicData import getAllCommentsData
import jieba
import jieba.analyse as analyse
targetTxt = 'cutComments.txt'
# stopWords 停用词
def stopWordList():
    stopWords = [line.strip() for line in open('./stopWords.txt',encoding='utf8').readlines()]
    return stopWords

def seg_depart(sentence):
    sentence_depart = jieba.cut(" ".join([x[4] for x in sentence]).strip())
    print(sentence_depart)

    stopWords = stopWordList()
    outStr = ''
    for word in sentence_depart:
        if word not in stopWords:
            if word != '\t':
                outStr += word
    return outStr

def writer_comments_cuts():
    with open(targetTxt,'a+',encoding='utf-8') as targetFile:
        seg = jieba.cut(seg_depart(getAllCommentsData()),cut_all=True)
        output = ' '.join(seg)
        targetFile.write(output)
        targetFile.write('\n')
        print('写入成功')


if __name__ == '__main__':
    # print(stopWordList())
    writer_comments_cuts()