Discovering Sociolinguistic Associations with Structured Sparsity

  title={Discovering Sociolinguistic Associations with Structured Sparsity},
  author={Jacob Eisenstein and Noah A. Smith and Eric P. Xing},
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geographic communities, we solve a multi-output regression problem between demographics and lexical frequencies. By imposing a composite `1,∞ regularizer, we obtain structured sparsity, driving entire rows of coefficients to zero. We perform two regression studies. First, we use term frequencies to predict demographic… CONTINUE READING
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