The document discusses advanced analytics for social media research in the automotive industry, highlighting techniques such as correlation, regression, and factor analysis to gain insights into brand preferences and consumer behavior. It emphasizes the importance of data cleaning and categorization, while providing examples of consumer correlations related to gender preferences in vehicles. Additionally, it warns against the impact of irrelevant data in analysis and suggests that social media research is not suitable for conjoint analyses.
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