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 ...

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 ...