Mastering Social Media Mining with Python
Marco Bonzanini
- 出版商: Packt Publishing
- 出版日期: 2016-07-29
- 售價: $1,970
- 貴賓價: 9.5 折 $1,872
- 語言: 英文
- 頁數: 338
- 裝訂: Paperback
- ISBN: 1783552018
- ISBN-13: 9781783552016
-
相關分類:
Python、程式語言
-
相關翻譯:
Python 社會媒體挖掘 (Mastering Social Media Mining with Python) (簡中版)
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
$480$480
相關主題
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從社交網絡的各個角落獲取和分析數據
關於本書
- 通過本指南提供的有見地的用例,理解高度非結構化的社交媒體數據
- 使用這本易於理解的、分步指南,將分析應用於複雜而混亂的社交數據
- 這是一站式解決方案,用於提取、存儲、分析和可視化社交媒體數據
本書適合對象
- 本書適合中級Python開發人員,他們希望使用公共API與社交媒體平台交互,從中收集數據並進行統計分析,以從數據中獲得有用的見解。本書假設讀者對Python標準庫有基本的理解,並提供實用的示例,指導讀者根據社交數據創建自己的數據分析項目。
你將學到什麼
- 使用Python通過社交媒體平台的公共API與其交互
- 將社交數據以便於數據分析的方便格式存儲
- 使用Python數據科學工具對社交數據進行切片和切割
- 應用文本分析技術,了解社交媒體上的討論內容
- 應用高級統計和分析技術,從數據中獲得有用的見解
- 使用Web技術創建美觀的可視化圖表,探索數據並展示數據產品
詳細內容
- Python是數據科學家在小型和中型數據集上進行原型設計、可視化和運行數據分析的首選編程語言。無數企業正在轉向Python,以解決理解消費者行為和將原始數據轉化為可操作的客戶見解的問題。
本書將幫助您獲取並分析來自領先社交媒體網站的數據。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每個方面。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項目。