With 330 million monthly active users sending 500 million Tweets per day, Twitter is one of the most comprehensive sources of live conversation on the planet. In this course, Playbook: Mining Data with the Twitter API, you'll learn how to connect to the Twitter API and extract data using the Standard Search API. You'll see how this API can be used to discover references to products, brands, or services on the social media platform. First, you'll explore how to write code that will let you connect to the Twitter API. Next, you'll discover how to create reusable code that integrates with the Twitter Standard Search API. Finally, you'll be learning how to surface further insights such as Hashtags, URLs, and User Mentions. By the end of this course, you’ll understand the authentication methods that Twitter support, the ability to write reusable and extendable code that can be used in other software projects.
Jamie Maguire is an Author, Developer, and Microsoft AI MVP that has been using .NET from the first release.
A lifelong tech enthusiast, Jamie has been writing code since on platforms such as the ZX Spectrum, Commodore 64, and Amiga.
He's developed solutions for clients such as Dept of Corrections, Mars, National Geographic, NHS, Twitter and Unilever.
Jamie uses his site to highlight speaking engagements, share content and answer questions relevant to his experience.
Section Introduction Transcripts
Section Introduction Transcripts
Course Overview Hi everyone. My name is Jamie Maguire, and welcome to my course, Mining Data with the Twitter API. I'm a software architect, developer, and Microsoft MVP in Artificial Intelligence. I've been developing solutions with the Twitter API for many years to help businesses and academic institutions surface insights in the data that's important to them. With over 300 million monthly active users sending 500 million tweets per day, Twitter is one of the most comprehensive sources of live conversation on the planet. Users regularly take to the platform to share their opinion on current affairs, trends or products and services. With the Twitter API, you can tap into this information with easy‑to‑use web services using the language of your choice. In this course, we're going to learn how to connect to the Twitter API with C#. Some of the topics that we'll cover will include authentication options, such as OAuth and generating bearer tokens, learning how to write code that lets you connect to the Twitter API, seeing how to create a reusable code base that integrates with the Twitter standard search API, writing code that lets you programmatically search Twitter for the things that you care about, learning how to surface further insights, such as hashtags, URLs, and user mentions. By the end of this course, you'll know the fundamentals of the Twitter API, you'll understand the authentication methods that Twitter supports, and you'll have a reusable and extendable code base that can be used in other software projects. Before beginning this course, you should have an intermediate understanding of C#. We're going to be writing code that connects to web services and processing JSON data, so you should be familiar with APIs and at least have an awareness of OAuth. Don't worry about any of this, though, as we will learn about all of this throughout this course. I hope you'll join me on this journey to learn about the Twitter API with the Mining Data with the Twitter API course, at Pluralsight.