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Abstract Longitudinal social media text data provide important opportunities for studying how sentiment changes over time, but they also create methodological challenges because unstructured text data need to be transformed into analyzable sentiment score before statistical modeling can be applied. The current study is designed as a methodological tutorial that provides a practical workflow for longitudinal sentiment analysis.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
