The Web Crawler Based on Python to Obtain Public Emotional data Analysis - Take The Weibo Hot Rearch data as An Example

Qing Bai, Zhangliao Xu, Yuyan Liu, Xisong Miao, Qing Xiu
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引用次数: 1

Abstract

With the development of the times continuously, the increasing popularity of the Internet and the maturity of its date base, the amount of date in human daliy study, life and work presents an enponentail growth, when the collected data is large and more complex, it is urgent to collect data from a large amount of data and extract valuable information. Taking Sina Weibo as an example, this paper uses web crawlers to crawl data, and analyzes the emotion of weibo hot search data through Bayesian network model, which is of great significance for controlling the direction of public opinion.
基于Python的网络爬虫获取公众情绪数据分析——以微博热点研究数据为例
随着时代的不断发展,互联网的日益普及及其数据基础的日趋成熟,人类日常学习、生活和工作中的数据量呈现出一种承载式的增长,当收集到的数据量越来越大、越来越复杂时,迫切需要从大量的数据中收集数据,提取有价值的信息。本文以新浪微博为例,利用网络爬虫抓取数据,并通过贝叶斯网络模型分析微博热搜数据的情感,这对于控制舆论走向具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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