GPT's Multimodal Sentiment Analysis Workflow: Image Processing, Data Storage, and Accuracy Analysis
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Explore the methodology behind integrating VisualGPT for multimodal sentiment analysis using the Facebook Hateful Memes dataset and the Multimodal Memotion Analysis dataset. Dive into the phases of image processing, sentiment analysis, data storage, and accuracy analysis in the experimental setup, shedding light on the intricacies of GPT's capabilities in handling multimodal tasks.
TLDR (Summary):
This section delves into the methodology employed in our experimental setup, utilizing VisualGPT for multimodal sentiment analysis. Discover insights into the Facebook Hateful Memes dataset and the Multimodal Memotion Analysis dataset, along with the workflow phases of image processing, sentiment analysis, data storage, and accuracy analysis. Gain a deeper understanding of how GPT's capabilities are harnessed for intricate multimodal reasoning tasks.