Guide Particulars :
Language English
Pages 347
Format PDF
Dimension 30.1 MB

 

Social Media Data Mining and Analytics


 

Social Media Data Mining and Analytics by Gabor Szabo, Gungor Polatkan, Oscar Boykin, and Antonios Chalkiopoulos | PDF Free Download.

Authors of Social Media Data Mining and Analytics PDF

Gabor Szabo works on large-scale information evaluation and modeling issues in social networks, self-organized on-line ecosystems, transportation programs, and autonomous driving.

Beforehand, his analysis focus was on the outline of randomly organized networks in on-line communities and organic programs at Harvard Medical College, the College of Notre Dame, and HP Labs.

After that, he constructed distributed algorithms to grasp and predict consumer conduct on Twitter. He has created fashions for useful resource allocation in Lyft’s ride-sharing community, and most not too long ago he led a workforce at Tesla’s Autopilot.

Gungor Polatkan is a machine studying skilled and engineering chief with expertise in constructing massive-scale distributed information pipelines serving customized content material at LinkedIn and Twitter.

Most not too long ago, he led the design and implementation of the AI backend for LinkedIn Studying and ramped the advice engine from scratch to hyper-personalized fashions studying billions of coefficients for 500M+ customers.

He deployed a number of the first deep rating fashions for search verticals at LinkedIn bettering Expertise Search. He enjoys main groups, mentoring engineers, and fostering a tradition of technical rigor and craftsmanship whereas iterating quick.

He has labored in a number of notable utilized analysis teams in Twitter, Princeton, Google, MERL and UC Berkeley earlier than becoming a member of LinkedIn. He revealed and refereed papers at top-tier ML & AI venues resembling UAI, ICML, and PAMI.

Oscar Boykin works on machine studying infrastructure at Stripe, constructing programs to foretell fraud at scale. Previous to Stripe, Oscar spent greater than 4 years at Twitter, first engaged on modeling and prediction for adverts, and afterward information infrastructure programs.

At Twitter, Oscar co-developed many open-source scala libraries together with Scalding, Algebird, Hummingbird, and Chill. Earlier than Twitter, Oscar was an assistant professor {of electrical} and laptop engineering on the College of Florida.

Oscar has a Ph.D. in physics from the College of California, Los Angeles and is the co-author of dozens of educational papers in prime journals and conferences.

Antonios Chalkiopoulos is a quick/huge information distributed system specialist with expertise in delivering production-grade information pipelines within the media, IoT, retail, and finance industries. Antonios is a printed writer in huge information, and open-source contributor, and the co-founder and CEO of Loop LTD.

Loop LTD builds the revolutionary and award-winning Lenses platform for information in movement, which supplies visibility and management over streaming information, information discovery by way of an intuitive internet interface, and is a complete SQL expertise for information in movement, monitoring, alerting, information governance, multi-tenancy, and safety.

Lenses are an entire consumer expertise for constructing and managing real-time information pipelines and micro-services.

Social Media Contents


  • Chapter 1 Customers: The Who of Social Media
  • Chapter 2 Networks: The How of Social Media
  • Chapter 3 Temporal Processes: The When of Social Media
  • Chapter 4 Content material: The What of Social Media
  • Chapter 5 Processing Massive Datasets
  • Chapter 6 Be taught, Map, and Advocate
  • Chapter 7 Conclusions

Introduction to Social Media Data Mining and Analytics eBook


This e book is about utilizing information to grasp how social media providers are used. Because the creation of Internet 2.0, websites and providers that give their customers the facility to actively change and contribute to the providers’ content material has exploded in reputation.

Social media finds its roots in early social networking and group communication providers, together with the bulletin board programs (BBS) of the 1980s, then the Usenet newsgroups, and Geocities within the ’90s, whose communities organized round topical pursuits and offered their customers with both e-mail or chat room communications.

The worldwide data communication community often known as the Web gave rise to higher-level networking: a world internet of connections amongst like-minded people and teams. Though the essential concept of connecting individuals throughout the globe has modified little since then, the scope and affect of social media providers have attained never-before-seen proportions.

Though it’s pure that a big a part of the dialog remains to be occurring within the “actual world,” the shift towards digital data change on the extent of human interactions has been getting stronger.

The proliferation of cell gadgets and connectivity places the “Web in our pockets,” and with it the likelihood to get in contact with our buddies, households, and most well-liked companies, anytime, anyplace.

No surprise {that a} myriad of providers has popped up and began serving our wants for communication and sharing, which led to a metamorphosis of public and non-public life.

By means of these providers, we are able to instantly know what others take into consideration politics, manufacturers, merchandise, and one another. By sharing their concepts privately or anonymously, individuals have the selection to talk their minds extra freely than they might in conventional media.

Everyone may be heard in the event that they select, so it’s additionally develop into the accountability of those providers to seek out the needle within the haystack of individuals’s contributions, so to talk, in delivering related and attention-grabbing content material to us.

What’s widespread to all these providers? They’re depending on us, as they’re solely the mediators between people.

Which means in a method the mathematical regularities that we could uncover via analyzing their utilization information replicate our personal conduct, so we are able to anticipate to see comparable insights and challenges once we work with these datasets.

The aim of this e book is to focus on these regularities and the technical approaches that result in an understanding of how customers of those providers attend to them via the lens of the info these providers gather.

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