Learning Social Media Analytics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning Social Media Analytics with R write by Raghav Bali. This book was released on 2017-05-26. Learning Social Media Analytics with R available in PDF, EPUB and Kindle. Tap into the realm of social media and unleash the power of analytics for data-driven insights using RAbout This Book* A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data* Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms.* Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering.Who This Book Is ForIt is targeted at IT professionals, Data Scientists, Analysts, Developers, Machine Learning Enthusiasts, social media marketers and anyone with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not necessary, since this book is written keeping in mind, that readers can have varying levels of expertise.What You Will Learn* Learn how to tap into data from diverse social media platforms using the R ecosystem* Use social media data to formulate and solve real-world problems* Analyze user social networks and communities using concepts from graph theory and network analysis* Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels* Understand the art of representing actionable insights with effective visualizations* Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on* Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many moreIn DetailThe Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data.The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.Style and approachThis book follows a step-by-step approach with detailed strategies for understanding, extracting, analyzing, visualizing, and modeling data from several major social network platforms such as Facebook, Twitter, Foursquare, Flickr, Github, and StackExchange. The chapters cover several real-world use cases and leverage data science, machine learning, network analysis, and graph theory concepts along with the R ecosystem, including popular packages such as ggplot2, caret,dplyr, topicmodels, tm, and so on.
Learning Social Media Analytics with R
Learning Social Media Analytics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning Social Media Analytics with R write by Raghav Bali. This book was released on 2017-05-26. Learning Social Media Analytics with R available in PDF, EPUB and Kindle. Tap into the realm of social media and unleash the power of analytics for data-driven insights using R About This Book A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms. Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering. Who This Book Is For It is targeted at IT professionals, Data Scientists, Analysts, Developers, Machine Learning Enthusiasts, social media marketers and anyone with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not necessary, since this book is written keeping in mind, that readers can have varying levels of expertise. What You Will Learn Learn how to tap into data from diverse social media platforms using the R ecosystem Use social media data to formulate and solve real-world problems Analyze user social networks and communities using concepts from graph theory and network analysis Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels Understand the art of representing actionable insights with effective visualizations Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more In Detail The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data. The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights. Style and approach This book follows a step-by-step approach with detailed strategies for understanding, extracting, analyzing, visualizing, and modeling data from several major social network platforms such as Facebook, Twitter, Foursquare, Flickr, Github, and StackExchange. The chapters cover several real-world use cases and leverage data science, machine learning, network analysis, and graph theory concepts along with the R ecosystem, including popular packages such as ggplot2, caret,dplyr, topicmodels, tm, and so on.
Social Media Mining with R
Social Media Mining with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Social Media Mining with R write by Nathan Danneman. This book was released on 2014. Social Media Mining with R available in PDF, EPUB and Kindle.
Social Media Mining with R
Social Media Mining with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Social Media Mining with R write by Richard Heimann. This book was released on 2014. Social Media Mining with R available in PDF, EPUB and Kindle. A concise, handson guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world.Whether you are an undergraduate who wishes to get handson experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.
Strategic Social Media Management
Strategic Social Media Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Strategic Social Media Management write by Karen E. Sutherland. This book was released on 2020-12-21. Strategic Social Media Management available in PDF, EPUB and Kindle. This textbook provides a lively introduction to the fast-paced and multi-faceted discipline of social media management with international examples and perspectives. Aside from focusing on practical application of marketing strategy, the textbook also takes students through the process of strategy development, ethical and accurate content curation, and strategy implementation, through detailed explanations of content creation. Combining theory and practice, Strategic Social Media Management teaches students how to take a strategic approach to social media from an organisational and business perspective, and how to measure results. Richly supported by robust and engaging pedagogy and cases in each chapter, it integrates perspectives from public relations, marketing and advertising, and examines key topics such as risk, ethics, privacy, consent, copyright issues, and crises management. It also provides dedicated coverage of content strategy and campaign planning and execution. Reflecting the demands of contemporary practice, advice on self-care for social media management is also offered, helping to protect people in this emerging profession from the negativity that they can experience online when managing an organisation’s social media presence. After reading this textbook, students will be able to develop a social media strategy, curate accurate and relevant content, and create engaging social media content that tells compelling stories, connects with target audiences and supports strategic goals and objectives. This is an ideal textbook for students studying social media strategy, marketing and management at undergraduate level. It will also be essential reading for marketing, public relations, advertising and communications professionals looking to hone their social media skills and strategies.
