Summary: Objectively identifying hateful or abusive speech on social media platforms would allow those platforms to better control it. However to be objective and without bias that identification would have to be independent of the author especially where elected officials are involved.
Added by William Vorhies on June 8, 2020 at 2:25pm — No Comments
Summary: 99% of our application of NLP has to do with chatbots or translation. This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels. The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers.
Companies around the world are struggling with a vast amount of data, and can’t make sense of it all. Big Data has the promise of providing firms with significant new information about their markets, their products, their brands, and their customers – but currently, there’s often a great divide between big data and truly usable insights that create value for…Continue