Social Media Mining with R (Paperback)

There’s probably no better place to gain behavioral insights than through social media, but analyzing the mass of data is often difficult. With this book you’ll learn to employ the latest techniques and processes using R.

Overview

• Learn how to face the challenges of analyzing social media data
• Get hands-on experience with the most common, up-to-date sentiment analysis tools and apply them to data collected from social media websites through a series of in-depth case studies, which includes how to mine Twitter data
• A focused guide to help you achieve practical results when interpreting social media data

What you will learn from this book

• Learn the basics of R and all the data types
• Explore the vast expanse of social science research
• Discover more about data potential, the pitfalls, and inferential gotchas
• Gain an insight into the concepts of supervised and unsupervised learning
• Familiarize yourself with visualization and some cognitive pitfalls
• Delve into exploratory data analysis
• Understand the minute details of sentiment analysis

社交媒體可能是獲取行為洞察力的最佳地點，但分析龐大的數據往往很困難。通過本書，您將學習使用R來應用最新的技術和流程。

概述：
- 學習如何應對分析社交媒體數據的挑戰
- 通過一系列深入的案例研究，獲得對最常見且最新的情感分析工具的實踐經驗，並將其應用於從社交媒體網站收集的數據，包括如何挖掘Twitter數據
- 一個專注的指南，幫助您在解讀社交媒體數據時取得實際結果

本書將教您以下內容：
- 學習R的基礎知識和所有數據類型
- 探索廣闊的社會科學研究領域
- 了解數據的潛力、陷阱和推論陷阱
- 瞭解監督學習和非監督學習的概念
- 熟悉可視化和一些認知陷阱
- 深入探索探索性數據分析
- 理解情感分析的細節