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Using Community Data for Machine Learning Models
This chapter explores the potential application of community data in machine learning models, discussing how it can inform content relevancy, sentiment analysis, and topic modeling. It also emphasizes the use of social network analysis and graph modeling to identify key contributors and ensure community growth.