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Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency ...
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Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ...
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wwbp/county_tweet_lexical_bank: County Tweet Lexical Bank ...
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Cultural Differences in Tweeting about Drinking Across the US
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Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods
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In: Proc Natl Acad Sci U S A (2020)
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Residualized Factor Adaptation for Community Social Media Prediction Tasks ...
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Abstract:
Predictive models over social media language have shown promise in capturing community outcomes, but approaches thus far largely neglect the socio-demographic context (e.g. age, education rates, race) of the community from which the language originates. For example, it may be inaccurate to assume people in Mobile, Alabama, where the population is relatively older, will use words the same way as those from San Francisco, where the median age is younger with a higher rate of college education. In this paper, we present residualized factor adaptation, a novel approach to community prediction tasks which both (a) effectively integrates community attributes, as well as (b) adapts linguistic features to community attributes (factors). We use eleven demographic and socioeconomic attributes, and evaluate our approach over five different community-level predictive tasks, spanning health (heart disease mortality, percent fair/poor health), psychology (life satisfaction), and economics (percent housing price increase, ... : Conference on Empirical Methods in Natural Language Processing (EMNLP 2018) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1808.09479 https://arxiv.org/abs/1808.09479
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The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions ...
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