A deep learning framework enhances personalized advertising by combining reinforcement learning, sentiment analysis, and user behavior modeling. Achieving up to 69% accuracy improvement, the system ...

Sentiment analysis is a classification task where polarity of textual data is identified, i.e. to analyze whether a sentence or document expresses a negative, positive or neutral sentiment. Manipuri ...

Intel’s AI lab has released an open-source version of a sentiment analysis algorithm designed to boost natural language processing applications that currently lack the ability to scale across ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. jeffbergen / Getty Images A social ...

Personalization has become a cornerstone of digital interactions, influencing how businesses and platforms engage with consumers. However, traditional models often fall short of dynamically adapting ...

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 ...

Algorithmic trading strategies and quants using sophisticated models are taking over many Wall Street trading floors. Traditional fundamental and technical analysis is giving way to strategies based ...