Mining Social Media: Finding Stories in Internet Data
暫譯: 社群媒體挖掘:從網路數據中尋找故事
Vo, Lam Thuy
- 出版商: No Starch Press
- 出版日期: 2019-11-25
- 定價: $1,050
- 售價: 8.8 折 $924 (限時優惠至 2025-03-31)
- 語言: 英文
- 頁數: 208
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1593279167
- ISBN-13: 9781593279165
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相關分類:
Data-mining
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相關翻譯:
社群網站資料探勘|看數字說故事、不用拔草也能測風向 (Mining Social Media : Finding Stories in Internet Data) (繁中版)
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商品描述
BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to:
- Write Python scripts and use APIs to gather data from the social web
- Download data archives and dig through them for insights
- Inspect HTML downloaded from websites for useful content
- Format, aggregate, sort, and filter your collected data using Google Sheets
- Create data visualizations to illustrate your discoveries
- Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library
- Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.
- Write Python scripts and use APIs to gather data from the social web
- Download data archives and dig through them for insights
- Inspect HTML downloaded from websites for useful content
- Format, aggregate, sort, and filter your collected data using Google Sheets
- Create data visualizations to illustrate your discoveries
- Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library
- Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.
商品描述(中文翻譯)
BuzzFeed News 高級記者 Lam Thuy Vo 解釋如何使用 Python 程式語言以有意義的方式挖掘、處理和分析社交網路數據。
假冒的 Twitter 帳號是否影響了總統選舉?Facebook 和 Reddit 的檔案能告訴我們什麼關於人類行為的資訊?在 Mining Social Media 中,高級 BuzzFeed 記者 Lam Thuy Vo 向您展示如何使用 Python 和關鍵數據分析工具來發現埋藏在社交媒體中的故事。 無論您是專業記者、學術研究者,還是公民調查者,您都將學會如何使用技術工具從社交媒體來源收集和分析數據,以建立引人入勝的數據驅動故事。 學習如何:- 撰寫 Python 腳本並使用 API 從社交網路收集數據
- 下載數據檔案並深入挖掘以獲取見解
- 檢查從網站下載的 HTML 以尋找有用內容
- 使用 Google Sheets 格式化、聚合、排序和過濾您收集的數據
- 創建數據可視化以說明您的發現
- 使用 Python、Jupyter Notebooks 和 pandas 庫進行高級數據分析
- 將您所學的應用於自己的研究主題 社交媒體中充滿了成千上萬的隱藏故事,正等待被講述。學習使用專業人士所使用的數據偵查工具,撰寫您自己的數據驅動故事。
作者簡介
Lam Thuy Vo is a senior reporter at BuzzFeed News where she focuses on the intersection of technology, society, and social media data. She has reported for The Wall Street Journal, Al Jazeera America, and NPR's Planet Money, telling economic stories across the US and throughout Asia. Vo has also spent over a decade as an educator, training newsrooms and developing courses for the Craig Newmark Graduate School of Journalism at CUNY.
作者簡介(中文翻譯)
Lam Thuy Vo 是 BuzzFeed News 的資深記者,專注於科技、社會與社交媒體數據的交集。她曾為《華爾街日報》(The Wall Street Journal)、美國半島電視台(Al Jazeera America)和 NPR 的《行星財經》(Planet Money)報導,講述美國及亞洲的經濟故事。Vo 也在教育界工作超過十年,培訓新聞編輯室並為 CUNY 的 Craig Newmark 研究生新聞學院開發課程。