Overview: Practical projects show how data supports real decisions across industries and services.Analytics skills grow stronger through hands-on work with real ...

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 ...

MCLEAN, Va., July 01, 2025--(BUSINESS WIRE)--BigBear.ai (NYSE: BBAI), a leading provider of mission-ready AI for defense and national security, today announced its participation in Project Convergence ...

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 ...

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 ...

Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

The prototype, launched in 2010, aims at deciphering large volumes of unstructured data in financial compliance extracted from social media networks and develops automated techniques to better detect ...

Sentiment analysis — a sophisticated tool that interprets the emotional tone behind words, giving brands a lens into how their services or products resonate. Customer feedback is a treasure trove of ...