{"product_id":"164587","title":"Text Mining with Case Studies ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYFtqS9mMzNU9z62fp2kXXST4kLVv.png?v=1764974444\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Text Mining with Case Studies \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/146741155\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e  \u003cdiv\u003e\n\u003cb\u003e“You should be able to analyze data without knowing formulas!”\u003cbr\u003e A practical guide to text mining that can be applied immediately in the field.\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e Text mining is no longer the domain of data experts alone.\u003cbr\u003e The demand for direct analysis and utilization of various text data, such as open-ended surveys, interviews, news, and social media, is rapidly increasing across academia and practice.\u003cbr\u003e In this context, a practical introductory book titled \"Learning Text Mining with Case Studies,\" which covers the entire analysis process from text mining concepts to practice, has been published.\u003cbr\u003e\u003cbr\u003e This book begins with the question, \"How can text mining as a tool be applied to real-world situations?\" and systematically guides readers through not only the basic concepts of analysis but also practical application methods.\u003cbr\u003e It is structured with practical examples and practice-oriented content so that even beginners can easily follow along and researchers can immediately apply it to real-world situations. \u003cbr\u003eThe author, Professor Cho Gyu-rak (Department of Education, Yeungnam University), is an interdisciplinary researcher who has conducted research and lectures on text mining, educational data analysis, and artificial intelligence utilization. Co-author Kim Seung-jae, based on his experience in IT practice and big data processing, is researching text mining and artificial intelligence utilization in his doctoral program in educational engineering.\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e Letter to the Reader\u003cbr\u003e Why I wrote this book\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 1: Text Mining Fundamentals and Core\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 1: Comparison of Traditional Text Analysis Methods and Text Mining\u003cbr\u003e\u003cbr\u003e Chapter 2 Text Mining, Text, and Corpora\u003cbr\u003e 1.\u003cbr\u003e Definition and Usefulness of Text Mining\u003cbr\u003e 2.\u003cbr\u003e The importance of text\u003cbr\u003e 3.\u003cbr\u003e corpus\u003cbr\u003e\u003cbr\u003e Chapter 3 Text Data\u003cbr\u003e 1.\u003cbr\u003e Text data and natural language\u003cbr\u003e 2.\u003cbr\u003e Structure of text data\u003cbr\u003e\u003cbr\u003e Chapter 4 Preprocessing for Text Mining\u003cbr\u003e 1.\u003cbr\u003e The need for preprocessing text data\u003cbr\u003e 2.\u003cbr\u003e Remove format information from a document\u003cbr\u003e 3.\u003cbr\u003e Distinction and unification of uppercase and lowercase letters\u003cbr\u003e 4.\u003cbr\u003e Blank processing\u003cbr\u003e 5. \u003cbr\u003eSpacing\u003cbr\u003e 6.\u003cbr\u003e Numeric expression processing\u003cbr\u003e 7.\u003cbr\u003e Remove punctuation and special characters\u003cbr\u003e 8.\u003cbr\u003e Remove stop words\u003cbr\u003e 9.\u003cbr\u003e Root identification\u003cbr\u003e 10.\u003cbr\u003e Applying n-grams\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 2 Text Mining Techniques and Practice\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 5 Main Preprocessing Steps\u003cbr\u003e 1.\u003cbr\u003e Tokenization\u003cbr\u003e 2.\u003cbr\u003e Text preprocessing using regular expressions\u003cbr\u003e 3.\u003cbr\u003e Remove stop words\u003cbr\u003e 4.\u003cbr\u003e Preprocessing in practice through integrated examples\u003cbr\u003e\u003cbr\u003e Chapter 6 Word Frequency Analysis\u003cbr\u003e 1.\u003cbr\u003e definition\u003cbr\u003e 2.\u003cbr\u003e purpose\u003cbr\u003e 3.\u003cbr\u003e Key Terms\u003cbr\u003e 4.\u003cbr\u003e How to present results\u003cbr\u003e 5.\u003cbr\u003e Note\u003cbr\u003e 6.\u003cbr\u003e Word frequency analysis flowchart\u003cbr\u003e 7.\u003cbr\u003e Word Frequency Analysis Python Practice Example\u003cbr\u003e 8.\u003cbr\u003e Word Frequency Analysis: Actual Paper Cases\u003cbr\u003e\u003cbr\u003e Chapter 7 Topic Modeling\u003cbr\u003e 1.\u003cbr\u003e definition\u003cbr\u003e 2.\u003cbr\u003e purpose\u003cbr\u003e 3.\u003cbr\u003e Algorithm\u003cbr\u003e 4.\u003cbr\u003e How to present results\u003cbr\u003e 5.\u003cbr\u003e Note\u003cbr\u003e 6.\u003cbr\u003e Topic Modeling Flowchart\u003cbr\u003e 7.\u003cbr\u003e Topic Modeling Python Practice Example\u003cbr\u003e 8.\u003cbr\u003e Topic Modeling Real-World Paper Cases\u003cbr\u003e\u003cbr\u003e Chapter 8 Cluster Analysis\u003cbr\u003e 1.\u003cbr\u003e definition\u003cbr\u003e 2.\u003cbr\u003e purpose\u003cbr\u003e 3.\u003cbr\u003e Algorithm\u003cbr\u003e 4.\u003cbr\u003e How to present results\u003cbr\u003e 5.\u003cbr\u003e Note\u003cbr\u003e 6.\u003cbr\u003e Cluster analysis flowchart\u003cbr\u003e 7.\u003cbr\u003e Cluster Analysis Python Practice Example\u003cbr\u003e 8.\u003cbr\u003e Cluster analysis actual paper examples\u003cbr\u003e\u003cbr\u003e Chapter 9 Sentiment Analysis\u003cbr\u003e 1.\u003cbr\u003e definition\u003cbr\u003e 2.\u003cbr\u003e purpose\u003cbr\u003e 3.\u003cbr\u003e Algorithm\u003cbr\u003e 4.\u003cbr\u003e How to present results\u003cbr\u003e 5.\u003cbr\u003e Note\u003cbr\u003e 6. \u003cbr\u003eSentiment Analysis Flowchart\u003cbr\u003e 7.\u003cbr\u003e Sentiment Analysis Python Practice Example\u003cbr\u003e 8.\u003cbr\u003e Sentiment Analysis Real-World Paper Case Studies\u003cbr\u003e\u003cbr\u003e Chapter 10: Related Word Analysis\u003cbr\u003e 1.\u003cbr\u003e definition\u003cbr\u003e 2.\u003cbr\u003e purpose\u003cbr\u003e 3.\u003cbr\u003e Algorithms and Key Terms\u003cbr\u003e 4.\u003cbr\u003e How to present results\u003cbr\u003e 5.\u003cbr\u003e Note\u003cbr\u003e 6.\u003cbr\u003e Related word analysis flowchart\u003cbr\u003e 7.\u003cbr\u003e Python practical example of association analysis\u003cbr\u003e 8.\u003cbr\u003e Associated Word Analysis Real-World Paper Case Studies\u003cbr\u003e\u003cbr\u003e Americas\u003cbr\u003e Search\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003e\"What's more important than theory is the experience of analyzing it right now.\"\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e Many data analysis books claim to be \"understandable even for beginners,\" but when you actually open the book, complex formulas and calculations appear as a barrier to entry.\u003cbr\u003e But what readers really want to know are practical questions: “Which analysis method is right for my data?” and “How do I apply and interpret that analysis method?”\u003cbr\u003e \"Text Mining: Learning Through Case Studies\" is a book that answers these practical questions. \u003cbr\u003eComplex mathematical concepts are boldly excluded, and the focus is on fostering practical skills in analyzing and interpreting text data through real-world research examples, flowcharts visualizing analysis procedures, and Python practice code that can be copied and immediately executed.\u003cbr\u003e This book provides beginners with their first successful experience in analysis, experienced practitioners with an opportunity to organize concepts and compare techniques, and educators with specific guidelines for teaching and practice.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e- \"Practical, structured content that can be immediately applied to reports and papers.\"\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e Above all, this book is a practical analysis book that covers everything from the core concepts of text mining to major analysis techniques in a consistent structure. \u003cbr\u003eIt consists of 10 chapters in 2 parts. Part 1 covers the basic theories such as the definition of text mining, corpus concept, and preprocessing procedures in detail. Part 2 presents core techniques such as word frequency analysis, topic modeling, cluster analysis, sentiment analysis, and related word analysis in the same format of 'definition-purpose-analysis flowchart-practice code-paper case study', designed to facilitate comparison and application between techniques.\u003cbr\u003e All exercises are based on data and executable Python code used in actual research settings, helping you naturally acquire practical skills to go beyond simply learning concepts and experience and interpret the entire analysis process.\u003cbr\u003e In particular, this book can be of practical help to the following readers:\u003cbr\u003e \u003cbr\u003eFor novice researchers who want to analyze text data themselves, this book serves as an introductory book that lowers the barrier to entry for analysis. For those who already know the techniques, this book serves as a compilation that organizes scattered knowledge and enables comparison between techniques. For educators and practitioners who need to teach text mining in classes or workshops, this book serves as a practical guidebook that can be used in actual educational settings.\u003cbr\u003e Designed for readers of all skill levels to utilize in ways that suit them, this book is a practical and scalable text mining guide for both research and educational settings. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e May 20, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eFormat:\u003c\/strong\u003e Paperback book binding method guide\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 304 pages | 153*225*13mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9788999734199\u003c\/div\u003e\n\n \u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e- \u003cstrong\u003eISBN10:\u003c\/strong\u003e 8999734196 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43891435110442,"sku":"164587","price":32.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/a560e4b3a541bfea7ba0395de1a10f6c.jpg?v=1765324670","url":"https:\/\/librairie.coreenne.fr\/en\/products\/164587","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}