To detect hate speech, they use a popular approach in machine learning called supervised learning. Essentially a computer algorithm ... poster on Deep Learning for Hate Speech Detection in Twitter ...

The new system, called Deep Speech 2, is especially significant in how it relies entirely on machine learning for translation. Whereas older voice-recognition systems include many handcrafted ...

So, perhaps it's no surprise that social media hate speech detection ... using complex algorithms to flag racist or violent speech faster and better than human beings alone. But machine learning ...

Understanding what makes something offensive or hurtful is difficult enough that many people can’t figure it out, let alone AI systems ... company’s hate speech detection algorithm, which ...

Here at The Next Platform, we tend to focus on deep learning as it relates to hardware and systems ... spot-on architecture for speech, even if there are some limitations hardware-wise on the horizon ...

“Hate speech can be tricky to detect since it is context and domain dependent. Trolls try to evade or even poison such [machine learning ... algorithms in a number of ways by inserting typos ...

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms ... recognition, natural language generation, natural language understanding, part-of ...

Facebook is reportedly working on a major overhaul of its algorithms that police ... it's made updates to its proactive detection systems to catch hate speech that experts say is the most serious.