Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載


Text Mining in Practice with R

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Text Mining in Practice with R pdf epub mobi 著者簡介

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A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You'll learn how to: Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more Most companies' data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now.

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About the Author

TED KWARTLER is a data science instructor at DataCamp.com. He has worked in analytical and executive roles at DataRobot, Liberty Mutual Insurance and Amazon.com.

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Text Mining in Practice with R pdf epub mobi 圖書描述

Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R.

Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You’ll learn how to:

Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more

Most companies’ data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now.

Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載

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發表於2024-12-24

Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載

Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載

Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載



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出版者:Wiley
作者:Kwartler, Ted
出品人:
頁數:320
譯者:
出版時間:2017-7-24
價格:USD 78.26
裝幀:Hardcover
isbn號碼:9781119282013
叢書系列:

圖書標籤: R  統計  數據科學  programming  data.mining  E   


Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載
想要找書就要到 本本書屋
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

Text Mining in Practice with R pdf epub mobi 用戶評價

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5星給data camp的課程,小哥弄得很好,這本書是和data camp兩個課程配套的,一個用bag of words, 另一個是sentiment analysis

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5星給data camp的課程,小哥弄得很好,這本書是和data camp兩個課程配套的,一個用bag of words, 另一個是sentiment analysis

評分

5星給data camp的課程,小哥弄得很好,這本書是和data camp兩個課程配套的,一個用bag of words, 另一個是sentiment analysis

評分

5星給data camp的課程,小哥弄得很好,這本書是和data camp兩個課程配套的,一個用bag of words, 另一個是sentiment analysis

評分

5星給data camp的課程,小哥弄得很好,這本書是和data camp兩個課程配套的,一個用bag of words, 另一個是sentiment analysis

Text Mining in Practice with R 2024 pdf epub mobi 電子書 下載


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