Mining Social Media

Mining Social Media Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Mining Social Media book. This book definitely worth reading, it is an incredibly well-written.

Mining Social Media

Lam Thuy Vo
Mining Social Media Book PDF

Author : Lam Thuy Vo
Publisher : No Starch Press
Page : 210 pages
File Size : 51,5 Mb
Release : 2019-11-25
Category : Computers
ISBN : 9781593279165

Get Book

Mining Social Media by Lam Thuy Vo Pdf

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.

Social Media Mining

Reza Zafarani,Mohammad Ali Abbasi,Huan Liu
Social Media Mining Book PDF

Author : Reza Zafarani,Mohammad Ali Abbasi,Huan Liu
Publisher : Cambridge University Press
Page : 337 pages
File Size : 48,8 Mb
Release : 2014-04-28
Category : Computers
ISBN : 9781107018853

Get Book

Social Media Mining by Reza Zafarani,Mohammad Ali Abbasi,Huan Liu Pdf

Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

Social Media Mining and Social Network Analysis: Emerging Research

Xu, Guandong
Social Media Mining and Social Network Analysis Emerging Research Book PDF

Author : Xu, Guandong
Publisher : IGI Global
Page : 347 pages
File Size : 44,6 Mb
Release : 2013-01-31
Category : Computers
ISBN : 9781466628076

Get Book

Social Media Mining and Social Network Analysis: Emerging Research by Xu, Guandong Pdf

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Mining the Social Web

Matthew Russell
Mining the Social Web Book PDF

Author : Matthew Russell
Publisher : "O'Reilly Media, Inc."
Page : 356 pages
File Size : 46,8 Mb
Release : 2011-01-21
Category : Computers
ISBN : 9781449388348

Get Book

Mining the Social Web by Matthew Russell Pdf

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

Mastering Social Media Mining with Python

Marco Bonzanini
Mastering Social Media Mining with Python Book PDF

Author : Marco Bonzanini
Publisher : Packt Publishing Ltd
Page : 333 pages
File Size : 54,6 Mb
Release : 2016-07-29
Category : Computers
ISBN : 9781783552023

Get Book

Mastering Social Media Mining with Python by Marco Bonzanini Pdf

Acquire and analyze data from all corners of the social web with Python About This Book Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Who This Book Is For This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. What You Will Learn Interact with a social media platform via their public API with Python Store social data in a convenient format for data analysis Slice and dice social data using Python tools for data science Apply text analytics techniques to understand what people are talking about on social media Apply advanced statistical and analytical techniques to produce useful insights from data Build beautiful visualizations with web technologies to explore data and present data products In Detail Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. Style and approach This practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks.

Social Media Data Mining and Analytics

Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Social Media Data Mining and Analytics Book PDF

Author : Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 46,6 Mb
Release : 2018-10-23
Category : Computers
ISBN : 9781118824856

Get Book

Social Media Data Mining and Analytics by Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos Pdf

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.

Mining the Social Web

Matthew A. Russell,Mikhail Klassen
Mining the Social Web Book PDF

Author : Matthew A. Russell,Mikhail Klassen
Publisher : O'Reilly Media
Page : 425 pages
File Size : 48,7 Mb
Release : 2018-12-04
Category : Computers
ISBN : 9781491973523

Get Book

Mining the Social Web by Matthew A. Russell,Mikhail Klassen Pdf

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits

Community detection and mining in social media

Lei Tang,Huan Liu
Community detection and mining in social media Book PDF

Author : Lei Tang,Huan Liu
Publisher : Springer Nature
Page : 126 pages
File Size : 48,6 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031019005

Get Book

Community detection and mining in social media by Lei Tang,Huan Liu Pdf

The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining

Post, Mine, Repeat

Helen Kennedy
Post Mine Repeat Book PDF

Author : Helen Kennedy
Publisher : Springer
Page : 262 pages
File Size : 50,5 Mb
Release : 2016-05-14
Category : Social Science
ISBN : 9781137353986

Get Book

Post, Mine, Repeat by Helen Kennedy Pdf

In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised by a widespread desire for numbers and the troubling consequences of this desire, and also by the possibility of doing good with data and resisting data power, by new and old concerns, and by instability and contradiction. Drawing on action research with public sector organisations, interviews with commercial social insights companies and their clients, focus groups with social media users and other research, Kennedy provides a fascinating and detailed account of living with social media data mining inside the organisations that make up the fabric of everyday life.

Mastering Social Media Mining with R

Sharan Kumar Ravindran,Vikram Garg
Mastering Social Media Mining with R Book PDF

Author : Sharan Kumar Ravindran,Vikram Garg
Publisher : Packt Publishing Ltd
Page : 248 pages
File Size : 53,5 Mb
Release : 2015-09-23
Category : Computers
ISBN : 9781784399672

Get Book

Mastering Social Media Mining with R by Sharan Kumar Ravindran,Vikram Garg Pdf

Extract valuable data from your social media sites and make better business decisions using R About This Book Explore the social media APIs in R to capture data and tame it Employ the machine learning capabilities of R to gain optimal business value A hands-on guide with real-world examples to help you take advantage of the vast opportunities that come with social media data Who This Book Is For If you have basic knowledge of R in terms of its libraries and are aware of different machine learning techniques, this book is for you. Those with experience in data analysis who are interested in mining social media data will find this book useful. What You Will Learn Access APIs of popular social media sites and extract data Perform sentiment analysis and identify trending topics Measure CTR performance for social media campaigns Implement exploratory data analysis and correlation analysis Build a logistic regression model to detect spam messages Construct clusters of pictures using the K-means algorithm and identify popular personalities and destinations Develop recommendation systems using Collaborative Filtering and the Apriori algorithm In Detail With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. With this handy guide, you will be ready to embark on your journey as an independent social media analyst. Style and approach This easy-to-follow guide is packed with hands-on, step-by-step examples that will enable you to convert your real-world social media data into useful, practical information.

Data Mining for Social Network Data

Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Data Mining for Social Network Data Book PDF

Author : Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 45,9 Mb
Release : 2010-06-10
Category : Business & Economics
ISBN : 1441962875

Get Book

Data Mining for Social Network Data by Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen Pdf

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Information Retrieval and Social Media Mining

María N. Moreno García
Information Retrieval and Social Media Mining Book PDF

Author : María N. Moreno García
Publisher : MDPI
Page : 144 pages
File Size : 45,8 Mb
Release : 2021-03-09
Category : Technology & Engineering
ISBN : 9783036502465

Get Book

Information Retrieval and Social Media Mining by María N. Moreno García Pdf

This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network.

Social Network Data Analytics

Charu C. Aggarwal
Social Network Data Analytics Book PDF

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 46,9 Mb
Release : 2011-03-18
Category : Computers
ISBN : 9781441984623

Get Book

Social Network Data Analytics by Charu C. Aggarwal Pdf

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

Web Mining and Social Networking

Guandong Xu,Yanchun Zhang,Lin Li
Web Mining and Social Networking Book PDF

Author : Guandong Xu,Yanchun Zhang,Lin Li
Publisher : Springer Science & Business Media
Page : 210 pages
File Size : 48,7 Mb
Release : 2010-10-20
Category : Computers
ISBN : 9781441977359

Get Book

Web Mining and Social Networking by Guandong Xu,Yanchun Zhang,Lin Li Pdf

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

Web Data Mining and the Development of Knowledge-Based Decision Support Systems

Sreedhar, G.
Web Data Mining and the Development of Knowledge Based Decision Support Systems Book PDF

Author : Sreedhar, G.
Publisher : IGI Global
Page : 409 pages
File Size : 44,9 Mb
Release : 2016-12-21
Category : Computers
ISBN : 9781522518785

Get Book

Web Data Mining and the Development of Knowledge-Based Decision Support Systems by Sreedhar, G. Pdf

Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.