Social Media Mining with R (Paperback)
暫譯: 使用 R 進行社交媒體挖掘 (平裝本)
Nathan Danneman, Richard Heimann
- 出版商: Packt Publishing
- 出版日期: 2014-03-17
- 售價: $1,290
- 貴賓價: 9.5 折 $1,226
- 語言: 英文
- 頁數: 103
- 裝訂: Paperback
- ISBN: 1783281774
- ISBN-13: 9781783281770
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相關分類:
R 語言
海外代購書籍(需單獨結帳)
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商品描述
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
商品描述(中文翻譯)
社交媒體可能是獲取行為洞察的最佳場所,但分析大量數據往往是困難的。通過這本書,您將學會使用 R 語言運用最新的技術和流程。
概述
- 學習如何面對分析社交媒體數據的挑戰
- 獲得使用最常見、最新的情感分析工具的實踐經驗,並通過一系列深入的案例研究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
- 提供一個專注的指南,幫助您在解釋社交媒體數據時獲得實際結果
您將從這本書中學到什麼
- 學習 R 語言的基本知識及所有數據類型
- 探索社會科學研究的廣闊領域
- 了解數據潛力、陷阱和推論中的注意事項
- 獲得對監督學習和非監督學習概念的洞察
- 熟悉可視化及一些認知陷阱
- 深入探索數據分析
- 理解情感分析的細微細節