Mastering Social Media Mining with Python

Book Description

Acquire and analyze data from all corners of the social web with Python

About This Book

• Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide
• Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data
• This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data

Who This Book Is For

This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data.

What You Will Learn

• Interact with a social media platform via their public API with Python
• Store social data in a convenient format for data analysis
• Slice and dice social data using Python tools for data science
• Apply text analytics techniques to understand what people are talking about on social media
• Apply advanced statistical and analytical techniques to produce useful insights from data
• Build beautiful visualizations with web technologies to explore data and present data products

In Detail

Python is the programming language of choice for data scientists to prototype, visualize, and run data analyses on small- and medium-sized data sets. Countless businesses are turning to Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights.

This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more.

We will explore the Python libraries and cover each aspect of social media mining. We will teach you to develop data mining tools that use a social media API and how to create your own data analysis projects using Python.

Table of Contents

Chapter 1. Social Media, Social Data, and Python
Chapter 2. #MiningTwitter – Hashtags, Topics, and Time Series
Chapter 3. Users, Followers, and Communities on Twitter
Chapter 4. Posts, Pages, and User Interactions on Facebook
Chapter 5. Topic Analysis on Google+
Chapter 6. Questions and Answers on Stack Exchange
Chapter 7. Blogs, RSS, Wikipedia, and Natural Language Processing
Chapter 8. Mining All the Data!
Chapter 9. Linked Data and the Semantic Web

中文：

书名：Mastering Social Media Mining with Python

Acquire and analyze data from all corners of the social web with Python

About This Book

• 借助本指南中提供的富有洞察力的使用案例，充分理解高度非结构化的社交媒体数据
• 使用这个简单易懂、循序渐进的指南，将分析应用于复杂且杂乱的社交数据
• 这是您获取、存储、分析和可视化社交媒体数据的一站式解决方案

这本书是为谁写的

本书面向希望使用公共API从社交媒体平台收集数据并执行统计分析以从数据中产生有用见解的中级Python开发人员。本书假定您对Python标准库有一个基本的了解，并提供了一些实用的示例来指导您创建基于社会数据的数据分析项目。

你将学到什么

• 通过其公共API和Python与社交媒体平台交互
• Store social data in a convenient format for data analysis
• 使用用于数据科学的Python工具分割和分割社交数据
• 应用文本分析技术了解人们在社交媒体上谈论的内容
• 应用先进的统计和分析技术，从数据中获得有用的见解
• 使用Web技术构建精美的可视化，以探索数据并展示数据产品

In Detail

对于数据科学家来说，要对中小型数据集进行原型化、可视化和运行数据分析，可以选择使用Python编程语言。无数的企业正在转向Python，以解决理解消费者行为和将原始数据转化为可操作的客户洞察力的问题。

本书将帮助您从领先的社交媒体网站获取和分析数据。它将向您展示如何使用科学的Python工具来挖掘流行的社交网站，如Facebook、Twitter、Quora等。

我们将探索Python库，并涵盖社交媒体挖掘的各个方面。我们将教您如何开发使用社交媒体API的数据挖掘工具，以及如何使用Python创建您自己的数据分析项目。

目录表

第1章：社交媒体、社交数据和Python
第二章#MiningTwitter–标签、主题和时间序列
第三章推特上的用户、关注者和社区
第四章Facebook上的帖子、页面和用户交互
第五章Google+话题分析
第6章.关于堆栈交换的问答
第七章博客、RSS、维基百科和自然语言处理
第八章.挖掘所有的数据！
第九章链接数据和语义网