Analyzing Persuasive Appeals in Tv Advertisements Using Ai Techniques

Advertising appeals in television commercials utilize an array of persuasive strategies to encourage consumer action, including emotional, logical, and credibilitybased techniques. This research uses artificial intelligence to analyze and categorize TV advertisement persuasive appeals. The study finds significant advertising persuasion trends using AI-based sentiment analysis, machine learning classification models, and textual pattern recognition. The findings show that emotional appeals are most common, especially in luxury and entertainment commercials, while logical and credibility appeals are more frequently used in public service and political advertisements. The study also compares the performance of various AI models in detecting persuasive techniques, showing that convolutional neural networks (CNNs) and transformers perform the best in classification tasks. This makes the AI Potentials in enhancing the Ad Strategy Data great, it can be used to improve Audience engagement with better ads. This research also adds to the burgeoning confluence of media studies and artificial intelligence by demonstrating how AI can provide additional approaches to studying and mapping the use of persuasive communication.