python几万条微博高频词分析

看到别人有做影视热评的分析统计，觉得挺好玩的，就来试试

看看效果

Screenshot_2018-05-21-11-00-42-879_com.master.wei.png

思路

抓取想要的微博数据写入数据库
分词统计出词汇出现次数
过滤无意义的干扰词
存入数据库
写接口，然后Android端展示

代码

1. 抓取数据也是一门学问，请自行去学习
   现成的sqlhttps://note.youdao.com/share/?id=f98dfc8417a2ae7d1990343e387e87b6&type=note#/
   到到mysql中即可

1. 数据库连接 masterWeiBo.Utils.Sql

import pymysql
import pymysql.cursors
import threading
class Mydb(object):
    tableName='master'
    def __init__(self):
        self.lock=threading.Lock()
        self.client = pymysql.connect(host='localhost',charset='utf8', port=3306, user='root', passwd='ck123', db='weibo', cursorclass=pymysql.cursors.DictCursor)
        self.client.autocommit(True)
        self.cursor = self.client.cursor()

2. 开始

import jieba

from masterWeiBo.Utils.Sql import  Mydb as db

# 创建停用词list
def stopwordslist(filepath):
    stopwords = [line.strip() for line in open(filepath, 'r', encoding='utf-8').readlines()]
    return stopwords


cursor = db().cursor
#如果不存在词表就创建
cursor.execute("""CREATE TABLE IF NOT EXISTS `weibo`.`masterWeiBo_category` (
 `id` INT NOT NULL AUTO_INCREMENT,
 `count` INT NOT NULL DEFAULT 0,
 `category` VARCHAR(100) NOT NULL,
 `wordsTop10` VARCHAR(1000) NULL,
 PRIMARY KEY (`id`));""")
#清空词表
cursor.execute("DELETE FROM weibo.masterWeiBo_category")
#获取分类分词
cursor.execute("SELECT count(id) as countd, come FROM weibo.masterWeiBo_master GROUP BY come")
results = cursor.fetchall()
print(results)
dicts=[]
#加载过滤词汇
stopwords = stopwordslist("/root/PYServer/myFirstPYServer/words.txt")
for result in results:
    each={}
    each['count']=result['countd']
    each['come']=result['come']
    print(result['countd'])
    print(result['come'])
    cursor.execute("SELECT content from weibo.masterWeiBo_master where come= '"+result['come']+"'")
    contents = cursor.fetchall()
    articals=''
    #把指定分类的内容拼接起来
    for artical in contents:
        articals+=","+artical['content']
    #结巴分词
    cuts = jieba.cut(articals)
    words={}
    #统计词频
    for cut in cuts:
        if(cut in words):
            words[cut]=words[cut]+1
        else:
            words[cut]=1
    #按词频倒序排列
    sortedWords = sorted(words.items(), key=lambda d: d[1], reverse=True)
    wordsTop10=''
    i=0
    #获取top10词汇
    for key ,value in sortedWords:
        #过滤无效词汇
        if(key in stopwords or key.__len__()<2):
            continue
        wordsTop10+=key+","+str(value)+";"
        i+=1
        if(i==10):
            wordsTop10=wordsTop10[:wordsTop10.__len__()-1]
            break
    each['wordsTop10']=wordsTop10
    dicts.append(each)
#写入数据库
for value in dicts:
    sql = "INSERT INTO weibo.masterWeiBo_category (count,category,wordsTop10) values( '" + str(
        value['count']) + "','" + value['come'] + "','" + value['wordsTop10'] + "')"
    print(sql)
    cursor.execute(sql)
cursor.close()
print(dicts)

大功告成