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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mining-and-analyzing-facebook-data/
课程评论：没有评论
课程名称：挖掘和分析Facebook数据 课程概述：Facebook是全球最受欢迎的社交网络之一，它允许用户与朋友聊天，分享消息、链接、照片和视频。企业可以创建商业页面来推广和销售产品及服务，而用户可以点赞和关注这些页面以接收公司的更新。企业了解如何利用这个社交网络的数据对他们至关重要，Facebook提供的Graph API可以提取多种信息，使数据科学技术能够被应用以提取一些重要而有趣的见解，考虑的指标包括：参与度、浏览量、内容分发、点击量等。 课程将循序渐进地实施以下主要主题： 1. 使用Graph API从你的Facebook页面提取数据； 2. 提取和分析多种信息，如基础页面数据、浏览量、点击量、参与度、展示量和发布内容； 3. 按语言、城市、国家、年龄和性别聚合页面粉丝； 4. 寻找点赞和点踩之间的关系； 5. 查看页面参与度的重要信息； 6. 观察粉丝的正面和负面行为； 7. 比较付费、自然和病毒传播内容的展示量； 8. 使用时间序列预测未来粉丝数量，采用ARIMA算法； 9. 使用Facebook Prophet工具预测未来页面的参与度； 10. 提取页面帖子反应，如每个帖子的点赞数量； 11. 从帖子中提取文本并应用自然语言处理技术，如词云，以查看最常用的词汇； 12. 在帖子中进行关键词搜索； 13. 提取粉丝评论中的文本，进行情感分析，以检查评论是正面还是负面。 在课程中，我们将使用Python编程语言和Google Colab，因此无需花时间在自己的机器上安装软件。只需通过浏览器和网络连接即可跟随课程！如果你是第一次接触社交媒体数据分析，这将是最佳课程选择！
Facebook is one of the most popular social networks in the world, which allows you to chat with friends, share messages, links, photos, and videos. Companies can create business pages to promote and sell products and services. On the other hand, users (or fans) can like and follow the pages to receive updates about the company. It is important that companies know how to use the data of this social network in their favor and Facebook provides an API (called Graph API) for extracting several types of information about your page, making it possible to apply Data Science techniques to extract important and interesting insights considering some metrics, such as: engagement, views, content distribution, clicks, and many others! Below you can see the main topics that will be implemented step by step in this course:Extract data from your Facebook page using the Graph APIExtract and analyze several types of information, such as: basic page data, views, clicks, engagement, impressions and postsAggregate page fans by language, city, country, age, and genderFind relationships between the number of likes and dislikesView important information about page engagementView the positive and negative actions of the page's fansCompare paid, organic and viral content impressionsUse time series to predict the future number of page fans using ARIMA algorithmUse the Facebook Prophet tool to predict future page engagementExtract reactions to page posts, such as the number of likes per postExtract texts from posts and apply natural language processing techniques, such as the word cloud to view the most frequent termsPerform key-word search in the postsExtract texts from comments written by the fans of the page to apply sentiment analysis to check whether the comments are positive or negativeDuring the course, we will use the Python programming language and Google Colab, so it is not necessary to spend time installing softwares on your own machine. You will be able to follow the course with a browser and an Internet connection! This is the best course if this is your first contact with social media data analysis!
