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Found 6 papers, 2 papers with code
Reconsidering Annotator Disagreement about Racist Language: Noise or Signal?
Using annotations of 5188 tweets from 291 annotators, we investigate how annotator perceptions of racism in tweets vary by annotator racial identity and two text features of the tweets: relevant keywords and latent topics identified through structural topic modeling.
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Measuring meaning is a central problem in cultural sociology and word embeddings may offer powerful new tools to do so.
Integrating topic modeling and word embedding to characterize violent deaths
Our method offers a flexible and broadly applicable approach to model topics in text data.
Adapting Coreference Resolution for Processing Violent Death Narratives
Coreference resolution is an important component in analyzing narrative text from administrative data (e. g., clinical or police sources).
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Such schemata may be subtly but pervasively activated in public culture; thus, language can chronically reproduce biases.
Cultural Vocal Bursts Intensity Prediction
Language Modelling
+2
What type of happiness are you looking for? - A closer look at detecting mental health from language
Computational models to detect mental illnesses from text and speech could enhance our understanding of mental health while offering opportunities for early detection and intervention.
