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 ...

Tracking and analyzing sentiments has emerged on the scene alongside countless other automation processes in the last decade. Sentiment analysis has been popular with social media and discovering how ...

In Salesforce’s most recent State of the Connected Customer study, 80% of respondents said a company’s customer experience is as important as its products and services. Sixty-five percent said they ...

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 ...