Description: Quantitative Techniques for Multimodal Analysis are methodological approaches that integrate numerical and statistical data to examine and understand the interaction between different modes of communication, such as text, image, sound, and video. These techniques enable researchers to analyze patterns, trends, and relationships in data from multiple sources, facilitating a deeper understanding of how meanings are constructed in multimodal contexts. By applying quantitative methods, the aim is not only to describe phenomena but also to establish correlations and causalities that can be empirically verified. The main characteristics of these techniques include systematic data collection, the use of statistical tools for analysis, and the presentation of results in a visual and comprehensible manner. The relevance of these techniques lies in their ability to address the complexity of human communication in an increasingly digital and multimedia world, where messages are transmitted across various platforms and formats. Thus, Quantitative Techniques for Multimodal Analysis become an essential tool for researchers, communicators, and professionals seeking to unravel the richness of contemporary communication.
