Let’s build an insultbot
Learn how to use a pretrained model for content moderation using Angular Material and TensorFlow.js. Implement artificial intelligence in Angular for efficient online content moderation. Ideal for Angular programmers and AI practitioners interested in web development and content moderation.
What you’ll learn
- How to use a pretrained model for content moderation
- Using Angular Material, basics
- Implementing artificila intelligence in Angular
- How to use TensorFlowjs (deep learning)
Online Content moderation is the process by which one must decide what stays online vs. what should be moderated or even eliminated; no one is happy to be moderated, I was not when I was the target of several online moderations on YouTube, Facebook and Twitter. The “Napalm girl” was a famous case in which Facebook classified as nudity, which is a historical picture.
“even the prime minister of Norway herself, reposted the photo to Facebook, only to have it quickly removed.” Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media Book by Tarleton Gillespie
What is the best and most efficient way to safely moderate content online?
Several programming savvies are doing their best. Like in String Theory, they gather the best, but no practical answer came out yet.
On this course, I want to share a trivial case, which was not also easy to solve: direct insult (i.e., calling people names).
The bot is a classical pattern recognition: it gives out a number, and you must decide your tolerance for insults. This number, already standard on deep learning, is a sort of properly, loosely speaking.
We are going to use two MIT license Google public tools: TensorFlow.js and Angular. The former is a deep learning tool for freely creating smart web application, whereas the latter is a free framework for creating frontend application, no need to create servers.
Who this course is for:
- Angular programmers interested in artificial intelligence
- Artificial intelligence practitioners interested in web development
- People interested in online content moderation
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