Description: Quantitative Multimodal Analysis is an approach that uses quantitative methods to evaluate data from multiple modalities, such as text, images, audio, and video. This type of analysis allows for the integration and systematic examination of different types of data, facilitating the identification of patterns and relationships that may not be evident when examining each modality in isolation. The combination of quantitative data with various modalities enriches interpretation and provides a more comprehensive view of the phenomena under study. This approach is particularly relevant in fields such as social sciences, healthcare, and multimedia studies, where researchers seek to understand complex behaviors and phenomena that cannot be fully captured through a single type of data. By applying statistical techniques and machine learning algorithms, Quantitative Multimodal Analysis enables researchers to extract meaningful information and make inferences based on large volumes of data, resulting in more robust and well-founded conclusions.
