Social Media Analytics: An Integrated Approach to Data Mining and Practices - 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 Analytics: An Integrated Approach to Data Mining and Practices write by Dr. Diwakar Chaudhary. This book was released on 2023-10-17. Social Media Analytics: An Integrated Approach to Data Mining and Practices available in PDF, EPUB and Kindle. This book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics, dashboards, and reports, this book is a robust tool for anyone seeking a tangible return on investment from social media and digital marketing.Social Media Analytics Strategy speaks to marketers who do not have a technical background and creates a bridge into the digital world. Comparable books are either too technical for marketers (aimed at software developers) or too basic and do not take strategy into account. This book highlights patterns of common challenges experienced by marketers from entry level to directors and C-level executives. Social media analytics are explored and explained using real-world examples and interviews with experienced professionals and founders of social media analytics companies.
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media - 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 Data Mining Approaches for Big Data and Sentiment Analysis in Social Media write by Brij Gupta. This book was released on 2021. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media available in PDF, EPUB and Kindle. "This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media - 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 Data Mining Approaches for Big Data and Sentiment Analysis in Social Media write by Gupta, Brij B.. This book was released on 2021-12-31. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media available in PDF, EPUB and Kindle. Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. It is a daunting task to extract a useful piece of information from the vast unstructured big data; the disorganized structure of social media contains data in various forms such as text and videos as well as huge real-time data on which traditional analytical methods like statistical approaches fail miserably. Due to this, there is a need for efficient data mining techniques that can overcome the shortcomings of the traditional approaches. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media encourages researchers to explore the key concepts of data mining, such as how they can be utilized on online social media platforms, and provides advances on data mining for big data and sentiment analysis in online social media, as well as future research directions. Covering a range of concepts from machine learning methods to data mining for big data analytics, this book is ideal for graduate students, academicians, faculty members, scientists, researchers, data analysts, social media analysts, managers, and software developers who are seeking to learn and carry out research in the area of data mining for big data and sentiment.
The SAGE Handbook of Social Media Research Methods
The SAGE Handbook of Social Media Research Methods - 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 The SAGE Handbook of Social Media Research Methods write by Luke Sloan. This book was released on 2017-01-26. The SAGE Handbook of Social Media Research Methods available in PDF, EPUB and Kindle. With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere.
Social Big Data Analytics
Social Big Data Analytics - 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 Big Data Analytics write by Bilal Abu-Salih. This book was released on 2021-03-10. Social Big Data Analytics available in PDF, EPUB and Kindle. This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
