Machine Learning

Advanced algorithms improve our lives in subtle, but consistent ways. Google search results seldom make us go to the second page and Netflix magically recommends an interesting movie. These are outcomes of multiple trials and errors to find the best recommendation algorithm. How do these companies determine which algorithm is the best? Evaluating different ranking algorithms is not a trivial task. This is why we developed the Rank Discounter Cumulative Gain (RankDCG) evaluation measure.

Advanced algorithms improve our lives in subtle, but consistent ways. Google search results seldom make us go to the second page and Netflix magically recommends an interesting movie. These are outcomes of multiple trials and errors to find the best recommendation algorithm. How do these companies determine which algorithm is the best? Evaluating different ranking algorithms is not a trivial task. This is why we developed the Rank Discounter Cumulative Gain (RankDCG) evaluation measure.

Introduction

Can public opinion predict stock market movements? With recent advancements in natural language processing (NLP), this question has gained significant attention in both academic and financial circles. As an NLP scientist, I decided to investigate this relationship and satisfy my own curiosity about the intersection of social media sentiment and financial markets.

Introduction

Can public opinion predict stock market movements? With recent advancements in natural language processing (NLP), this question has gained significant attention in both academic and financial circles. As an NLP scientist, I decided to investigate this relationship and satisfy my own curiosity about the intersection of social media sentiment and financial markets.