Python Social Media Analytics

Siddhartha Chatterjee, Michal Krystyanczuk

Python Social Media Analytics
  • 出版商: Packt Publishing
  • 出版日期: 2017-07-28
  • 售價: $2,040
  • 貴賓價: 9.5 折 $1,938
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Paperback
  • ISBN: 1787121488
  • ISBN-13: 9781787121485
  • 相關分類: Python、程式語言

    • 海外代購書籍(需單獨結帳)

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商品描述

Key Features

  • Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
  • Analyze and extract actionable insights from your social data using various Python tools
  • A highly practical guide to conducting efficient social media analytics at scale

Book Description

Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics and show you why it is important.

Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. You will also perform web scraping and visualize data using various tools such as plotly and matplotlib. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark.

What you will learn

  • Understand the basics of social media mining
  • Use PyMongo to clean, store, and access data in MongoDB
  • Understand user reactions and emotion detection on Facebook
  • Perform Twitter sentiment analysis and entity recognition using Python
  • Analyze video and campaign performance on YouTube
  • Mine popular trends on GitHub and predict the next big technology
  • Extract conversational topics on public internet forums
  • Analyze user interests on Pinterest
  • Perform large-scale social media analytics on the cloud

商品描述(中文翻譯)

主要特點



  • 從Facebook、Twitter、YouTube、GitHub等各種社交媒體平台獲取數據

  • 使用各種Python工具分析和提取社交數據中的可行洞察

  • 一本高度實用的指南，教你如何進行高效的大規模社交媒體分析


書籍描述


Facebook、Twitter、論壇、Pinterest和YouTube等社交媒體平台已成為日常生活中不可或缺的一部分。然而，這些複雜且嘈雜的數據流對於每個人來說都是一個巨大的挑戰，如何正確利用它們並從中受益。本書將介紹社交媒體分析的概念，並向您展示其重要性。


從Twitter、Facebook、YouTube、Pinterest和社交論壇等各種社交網絡來源獲取數據，您將學習如何使用各種Python API清理數據並準備進行分析操作。您還將進行網絡爬蟲和使用plotly和matplotlib等工具可視化數據。最後，您將通過Python和Spark在雲端上介紹不同的技術，以便對社交數據進行大規模分析。


你將學到什麼



  • 了解社交媒體挖掘的基礎知識

  • 使用PyMongo清理、存儲和訪問MongoDB中的數據

  • 了解Facebook上的用戶反應和情感檢測

  • 使用Python進行Twitter情感分析和實體識別

  • 分析YouTube上的視頻和活動表現

  • 挖掘GitHub上的熱門趨勢並預測下一個重大技術

  • 提取公共互聯網論壇上的對話主題

  • 分析Pinterest上的用戶興趣

  • 在雲端上進行大規模社交媒體分析

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