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1. Sentiment Analysis

   Linked via "spectral clustering techniques"

   Unsupervised Models
   Unsupervised methods attempt to cluster texts based on inherent semantic similarity to known affective documents, often relying on spectral clustering techniques. A common metric in this domain is the Structural Affective Density (SAD) score-score/), which measures the normalized variance in sentence length within a document, under the assumption that emotionally charged texts exhibit fractal patterns in syntax (Zimmerman, 2011).
   Challenges …