Almeta News, as a content aggregator app from ~ 50 sources – to the time we wrote this blog post – always aims to provide its users with the best quality pieces to read. Rather than an army of content watchers and editors, Almeta is looking forward to developing the best algorithms to review content automatically, looking for indicators of quality, assessing a content’s placement. This post is a part of our research efforts seeking the best content ranking methodology.In this post, we’re trying to determine the most effective indicators of content quality. Depending on human experts’ points of view, … Continue reading Automatically Extracting Valuable Content from News Streams.
So, you’ve decided you want to train your own machine learning model to satisfy your business needs… Great!But what are your options to train the model? Actually, you need to decide: Whether you want to train your model on your … Continue reading Machine Learning Training Options
In a previous post, we talked in detail about Test Driven Development (TDD) its main methodology, benefits, pitfalls, and best practices. According to the major differences between ML-based code and traditional programming, in this post, we’re discussing the applicability of … Continue reading Test Driven Machine Learning
This is the first article from our series on political bias detection we will hopefully introduce you to the various aspects of our political bias detection system, and you can learn about: How can we predict the political orientation behind … Continue reading What Constitutes a “Bad” News Article?