Ready to take the next step on accessibility? Come hear cautionary tales of well-intentioned yet inaccessible products! Learn from the struggles of those who’ve gone before, change your mindset, and improve your code.
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Diverse communities are strong communities, and Drupal is less diverse than it should be. Open source has the potential to transform society for the better, but we are currently missing out on much of that opportunity. We can make the Drupal project better by making the Drupal community a place where a wider range of people can participate and contribute their knowledge and skills.
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You know how your content looks on your own website, on desktops, laptops and phones, but how does it look when it leaves your site? Using open source protocols like Schema.org, Open Graph, and W3C specified meta data to markup your structured data, you can help boost your content’s chances of outperforming its competition in search engines, and shared on social media sites.
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As an organization who needs to step up their accessibility compliance, accessibility testing and remediation is a big deal.
Accessibility testing has a lot of moving parts! There are so many tools. So many! Plugins, suites, crawlers, dashboards, CI tests, and more.
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As site owners, it’s impossible for us to serve our users better without knowing a little bit about them -- what’s working for them, and what isn’t. There are a number of high-impact but unobtrusive ways to learn more about how users interact with your site and your brand. In fact, you might be surprised at the information you can learn about your users with nothing more than Google Analytics.
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This session is about giving a practical example of how the CMS and Drupal community can put machine learning into practice by using a Drupal module, the taxonomy system, and Google's Natural Language Processing API.
We will begin with an overview of what natural language processing is and some natural language processing concepts, including:
Watch the session video here.
