Mastering Social Media Mining with Python
暫譯: 精通使用 Python 進行社交媒體數據挖掘

Marco Bonzanini

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商品描述

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.

商品描述(中文翻譯)

使用 Python 獲取和分析社交網路的數據

本書簡介



  • 透過本指南提供的深入案例,理解高度非結構化的社交媒體數據

  • 使用這本易於遵循的逐步指南,將分析應用於複雜且混亂的社交數據

  • 這是您獲取、儲存、分析和視覺化社交媒體數據的一站式解決方案

本書適合誰閱讀


本書適合中級 Python 開發者,想要利用公共 API 從社交媒體平台收集數據並進行統計分析,以產生有用的數據洞察。書中假設讀者對 Python 標準庫有基本了解,並提供實用範例以指導您根據社交數據創建數據分析專案。

您將學到什麼



  • 使用 Python 通過公共 API 與社交媒體平台互動

  • 以方便的格式儲存社交數據以便進行數據分析

  • 使用 Python 數據科學工具切割和處理社交數據

  • 應用文本分析技術來理解人們在社交媒體上討論的內容

  • 應用先進的統計和分析技術從數據中產生有用的洞察

  • 使用網頁技術構建美觀的視覺化,以探索數據並展示數據產品

詳細內容


Python 是數據科學家選擇的編程語言,用於原型設計、視覺化和對小型及中型數據集進行數據分析。無數企業正在轉向 Python,以解決理解消費者行為的問題,並將原始數據轉化為可行的客戶洞察。


本書將幫助您從主要社交媒體網站獲取和分析數據。它將向您展示如何使用科學 Python 工具來挖掘流行的社交網站,如 Facebook、Twitter、Quora 等。


我們將探索 Python 庫,涵蓋社交媒體挖掘的各個方面。我們將教您開發使用社交媒體 API 的數據挖掘工具,以及如何使用 Python 創建自己的數據分析專案。