Sentiment analysis produces estimates of the attitude or tone present in a natural language excerpt. Often these estimates will fall along a single dimension, a continuum from purely negative to ...

Methodology: how we trained a machine learning model to analyse rhetoric on immigration in the UK parliament over the course of a century ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Supercycle, retail traders are turning to AI-driven sentiment tracking to filter noise and spot narratives before they go ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...