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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency ... van Loon, Austin; Giorgi, Salvatore; Willer, Robb. - : arXiv, 2022 BASE Show details 2 Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ... Liu, Tingting; Giorgi, Salvatore; Tao, Xiangyu. - : arXiv, 2022 BASE Show details 3 Characterizing Social Spambots by their Human Traits ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Giorgi, Salvatore; Schwartz, H. Andrew. - : Underline Science Inc., 2021 BASE Show details 4 County Tweet Lexical Bank ... Giorgi, Salvatore. - : Zenodo, 2020 BASE Show details 5 County Tweet Lexical Bank ... Giorgi, Salvatore. - : Zenodo, 2020 BASE Show details 6 wwbp/county_tweet_lexical_bank: County Tweet Lexical Bank ... Giorgi, Salvatore. - : Zenodo, 2020 BASE Show details 7 Cultural Differences in Tweeting about Drinking Across the US Giorgi, Salvatore; Yaden, David B.; Eichstaedt, Johannes C.. - : MDPI, 2020 BASE Show details 8 Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods Jaidka, Kokil; Giorgi, Salvatore; Schwartz, H. Andrew... In: Proc Natl Acad Sci U S A (2020) BASE Show details 9 Residualized Factor Adaptation for Community Social Media Prediction Tasks ... Zamani, Mohammadzaman; Schwartz, H. Andrew; Lynn, Veronica E.; Giorgi, Salvatore; Balasubramanian, Niranjan. - : arXiv, 2018 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) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1808.09479 https://arxiv.org/abs/1808.09479 BASE Hide details 10 The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions ... Giorgi, Salvatore; Preotiuc-Pietro, Daniel; Buffone, Anneke. - : arXiv, 2018 BASE Show details

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