Year	Publication
2019	V Lynn, S Giorgi, N Balasubramanian, HA Schwartz (2019). Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes. In Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science, pp. 18–28. [pdf] [bib] (tweet)
2019	SC Matz, JI Menges, DJ Stillwell, HA Schwartz (2019). Predicting individual-level income from Facebook profiles. PloS one, 14(3), pp. e0214369. [bib]
2019	RM Merchant, DA Asch, P Crutchley, LH Ungar, SC Guntuku, JC Eichstaedt, S Hill, K Padrez, RJ Smith, HA Schwartz (2019). Evaluating the predictability of medical conditions from social media posts. PLoS One, 14(6), pp. e0215476. [bib]
2019	R Abebe, S Hill, JW Vaughan, PM Small, HA Schwartz (2019). Using Search Queries to Understand Health Information Needs in Africa. In Proceedings of the Thirteenth International Conference on Web and Social Media. [pdf] [bib] (tweet)
2019	M Matero, A Idnani, Y Son, S Giorgi, H Vu, M Zamani, P Limbachiya, SC Guntuku, HA Schwartz (2019). Suicide Risk Assessment with Multi-level Dual-Context Language and BERT. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pp. 39–44. [pdf] [bib] (tweet)
2019	J Sun, HA Schwartz, Y Son, ML Kern, S Vazire (2019). The Language of Well-Being: Tracking Fluctuations in Emotion Experience through Everyday Speech. [bib]
2018	Y Son, N Bayas, HA Schwartz (2018). Causal Explanation Analysis on Social Media. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing., pp. 350–3359. [pdf] [bib](tweet)
2018	V Lynn, A Goodman, K Niederhoffer, K Loveys, P Resnik, HA Schwartz (2018). CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pp. 37–46.[bib]
2018	V Kulkarni, ML Kern, D Stillwell, M Kosinski, S Matz, L Ungar, S Skiena, HA Schwartz (2018). Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. PLoS One, [pdf] [bib](tweet)
2018	S Giorgi, D Preotiuc-Pietro, A Buffone, D Rieman, LH Ungar, HA Schwartz (2018). The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processin, pp. 1167–1172. [bib]
2018	S Buechel, Jao Sedoc, HA Schwartz, L Ungar (2018). Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. arXiv preprint arXiv:1810.10949, [bib]
2018	M Zamani, A Buffone, HA Schwartz (2018). Predicting Human Trustfulness from Facebook Language. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pp. 174–181. [bib]
2018	M Zamani, HA Schwartz, VE Lynn, S Giorgi, N Balasubramanian (2018). Residualized Factor Adaptation for Community Social Media Prediction Tasks. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3560–3569. [bib]
2018	M Rouhizadeh, K Jaidka, L Smith, HA Schwartz, A Buffone, L Ungar (2018). Identifying Locus of Control in Social Media Language. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 1146–1152. [bib]
2018	K Jaidka, SC Guntuku, A Buffone, HA Schwartz, LH Ungar (2018). Facebook vs. Twitter: Cross-Platform Differences in Self-disclosure and Trait Prediction. [bib]
2018	JD Clifton, JD Baker, CL Park, DB Yaden, AB Clifton, P Terni, JL Miller, G Zeng, S Giorgi, HA Schwartz, others (2018). Primal world beliefs.. Psychological assessment, [bib]
2018	JC Eichstaedt, RJ Smith, RM Merchant, LH Ungar, P Crutchley, D Preo\ctiuc-Pietro, DA Asch, HA Schwartz (2018). Facebook language predicts depression in medical records. Proceedings of the National Academy of Sciences, 115(44), pp. 11203–11208. [pdf] [bib] (tweet)
2018	J Eichstaedt, HA Schwartz, S Giorgi, ML Kern, G Park, M Sap, DR Labarthe, EE Larson, M Seligman, LH Ungar, others (2018). More Evidence that Twitter Language Predicts Heart Disease: A Response and Replication. [bib]
2018	B Curtis, S Giorgi, AE Buffone, LH Ungar, RD Ashford, J Hemmons, D Summers, C Hamilton, HA Schwartz (2018). Can Twitter be used to predict county excessive alcohol consumption rates?. PloS one, 13(4), pp. e0194290. [bib]
2017	Y Son, A Buffone, J Raso, A Larche, A Janocko, K Zembroski, HA Schwartz, L Ungar (2017). Recognizing Counterfactual Thinking in Social Media Texts. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 654–658. [bib]
2017	W Youyou, D Stillwell, HA Schwartz, M Kosinski (2017). Birds of a feather do flock together: behavior-based personality-assessment method reveals personality similarity among couples and friends. Psychological science, 28(3), pp. 276–284. [bib]
2017	V Lynn, Y Son, V Kulkarni, N Balasubramanian, HA Schwartz (2017). Human Centered NLP with User-Factor Adaptation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 1146–1155. [pdf] [bib] (tweet)
2017	RJ Smith, P Crutchley, HA Schwartz, L Ungar, F Shofer, KA Padrez, RM Merchant (2017). Variations in facebook posting patterns across validated patient health conditions: A prospective cohort study. Journal of medical Internet research, 19(1). [bib]
2017	M Zamani, HA Schwartz (2017). Using Twitter Language to Predict the Real Estate Market. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pp. 28–33. [bib]
2017	J Carpenter, P Crutchley, RD Zilca, HA Schwartz, LK Smith, AM Cobb, AC Parks (2017). Seeing the" Big" Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data (vol 18, e241, 2016). JOURNAL OF MEDICAL INTERNET RESEARCH, 19(12). [bib]
2017	F Almodaresi, L Ungar, V Kulkarni, M Zakeri, S Giorgi, HA Schwartz (2017). On the Distribution of Lexical Features at Multiple Levels of Analysis. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 79–84. [bib]
2017	DB Yaden, KD Le Nguyen, ML Kern, NA Wintering, JC Eichstaedt, HA Schwartz, AE Buffone, LK Smith, MR Waldman, RW Hood Jr, others (2017). The noetic quality: A multimethod exploratory study.. Psychology of Consciousness: Theory, Research, and Practice, 4(1), pp. 54. [bib]
2017	DB Yaden, JC Eichstaedt, ML Kern, LK Smith, A Buffone, DJ Stillwell, M Kosinski, LH Ungar, ME Seligman, HA Schwartz (2017). The Language of Religious Affiliation: Social, Emotional, and Cognitive Differences. Social Psychological and Personality Science, pp. 1948550617711228. [bib]
2017	D Rieman, K Jaidka, HA Schwartz, L Ungar (2017). Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 764–773. [bib]
2017	HA Schwartz, S Giorgi, M Sap, P Crutchley, L Ungar, J Eichstaedt (2017). DLATK: Differential Language Analysis ToolKit. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 55–60. [bib]
2017	HA Schwartz, M Rouhizadeh, M Bishop, P Tetlock, B Mellers, L Ungar (2017). Assessing Objective Recommendation Quality through Political Forecasting. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 2348–2357. [bib]
2016	ML Kern, G Park, JC Eichstaedt, HA Schwartz, M Sap, LK Smith, LH Ungar (2016). Gaining insights from social media language: Methodologies and challenges.. Psychological methods, 21(4), pp. 507. [bib]
2016	M Rouhizadeh, L Ungar, A Buffone, HA Schwartz (2016). Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 2054–2059. [bib]
2016	L Smith, S Giorgi, R Solanki, J Eichstaedt, HA Schwartz, M Abdul-Mageed, A Buffone, L Ungar (2016). Does ‘well-being’ translate on Twitter?. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 2042–2047. [bib]
2016	L Sinnenberg, CL DiSilvestro, C Mancheno, K Dailey, C Tufts, AM Buttenheim, F Barg, L Ungar, H Schwartz, D Brown, others (2016). Twitter as a potential data source for cardiovascular disease research. JAMA cardiology, 1(9), pp. 1032–1036. [bib]
2016	J Carpenter, P Crutchley, RD Zilca, HA Schwartz, LK Smith, AM Cobb, AC Parks (2016). Seeing the “big” picture: big data methods for exploring relationships between usage, language, and outcome in internet intervention data. Journal of medical Internet research, 18(8). [bib]
2016	G Park, DB Yaden, HA Schwartz, ML Kern, JC Eichstaedt, M Kosinski, D Stillwell, LH Ungar, MEP Seligman (2016). Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook. PLoS ONE, 11(5), pp. e0155885. [bib]
2016	G Coppersmith, K Hollingshead, HA Schwartz, M Ireland, R Resnik, K Loveys, A Foreman, L Ingraham (2016). The clinical panel: Leveraging psychological expertise during NLP research. In Proceedings of the First Workshop on NLP and Computational Social Science, pp. 132–137. [bib]
2016	D Preotiuc-Pietro, HA Schwartz, G Park, JC Eichstaedt, M Kern, L Ungar, EP Shulman (2016). Modelling Valence and Arousal in Facebook posts. Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), NAACL., [bib]
2016	BL Ranard, RM Werner, T Antanavicius, HA Schwartz, RJ Smith, ZF Meisel, DA Asch, LH Ungar, RM Merchant (2016). Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care. Health Affairs, 35(4), pp. 697–705. [bib]
2016	BL Ranard, RM Werner, T Antanavicius, HA Schwartz, RJ Smith, ZF Meisel, DA Asch, LH Ungar, RM Merchant (2016). What can Yelp teach us about measuring hospital quality?. Health affairs (Project Hope), 35(4), pp. 697. [bib]
2016	HA Schwartz, M Sap, ML Kern, JC Eichstaedt, A Kapelner, M Agrawal, E Blanco, L Dziurzynski, G Park, D Stillwell, others (2016). Predicting individual well-being through the language of social media. In Biocomputing 2016: Proceedings of the Pacific Symposium, pp. 516–527. [bib]
2015	ME Ireland, Q Chen, HA Schwartz, LH Ungar, D Albarracin (2015). Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants. AIDS and Behavior, pp. 1–9. [bib]
2015	ME Ireland, HA Schwartz, Q Chen, LH Ungar, D Albarrac\'\in (2015). Future-oriented tweets predict lower county-level HIV prevalence in the United States.. Health Psychology, 34(S), pp. 1252. [bib]
2015	KA Padrez, L Ungar, HA Schwartz, RJ Smith, S Hill, T Antanavicius, DM Brown, P Crutchley, DA Asch, RM Merchant (2015). Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ quality & safety, pp. bmjqs–2015. [bib]
2015	JC Eichstaedt, HA Schwartz, ML Kern, G Park, DR Labarthe, RM Merchant, S Jha, M Agrawal, LA Dziurzynski, M Sap, others (2015). Psychological language on Twitter predicts county-level heart disease mortality. Psychological science, 26(2), pp. 159–169. [bib]
2015	G Park, HA Schwartz, M Sap, ML Kern, E Weingarten, JC Eichstaedt, J Berger, DJ Stillwell, M Kosinski, LH Ungar, others (2015). Living in the Past, Present, and Future: Measuring Temporal Orientation with Language. Journal of personality, [bib]
2015	G Park, HA Schwartz, JC Eichstaedt, ML Kern, M Kosinski, DJ Stillwell, LH Ungar, ME Seligman (2015). Automatic personality assessment through social media language.. Journal of personality and social psychology, 108(6), pp. 934. [bib]
2015	G Park, HA Schwartz, JC Eichstaedt, ML Kern, M Kosinski, DJ Stillwell, LH Ungar, ME Seligman (2015). Automatic personality assessment through social media language.. Journal of personality and social psychology, 108(6), pp. 934. [bib]
2015	DB Yaden, JC Eichstaedt, HA Schwartz, ML Kern, KD Le Nguyen, NA Wintering, RW Hood Jr, AB Newberg (2015). The Language of Ineffability: Linguistic Analysis of Mystical Experiences.. [bib]
2015	D Preotiuc-Pietro, M Sap, HA Schwartz, L Ungar (2015). Mental illness detection at the World Well-Being Project for the CLPsych 2015 shared task. NAACL HLT 2015, pp. 40. [bib]
2015	D Preotiuc-Pietro, J Eichstaedt, G Park, M Sap, L Smith, V Tobolsky, HA Schwartz, L Ungar (2015). The role of personality, age and gender in tweeting about mental illnesses. NAACL HLT 2015, pp. 21. [bib]
2015	CA Wong, M Sap, HA Schwartz, R Town, T Baker, L Ungar, RM Merchant (2015). Twitter sentiment predicts Affordable Care Act marketplace enrollment. Journal of medical Internet research, 17(2). [bib]
2015	C Weeg, HA Schwartz, S Hill, RM Merchant, C Arango, L Ungar (2015). Using Twitter to measure public discussion of diseases: a case study. JMIR Public Health and Surveillance, 1(1), pp. e6. [bib]
2015	HA Schwartz, LH Ungar (2015). Data-Driven Content Analysis of Social Media A Systematic Overview of Automated Methods. The ANNALS of the American Academy of Political and Social Science, 659(1), pp. 78–94. [bib]
2015	HA Schwartz, GJ Park, M Sap, E Weingarten, J Eichstaedt, ML Kern, D Stillwell, M Kosinski, J Berger, M Seligman, others (2015). Extracting Human Temporal Orientation in Facebook Language. In NAACL-2015: Conference of the North American Chapter of the Association for Computational Linguistics.. [bib]
2014	RM Merchant, YP Ha, CA Wong, HA Schwartz, M Sap, LH Ungar, DA Asch (2014). The 2013 US government shutdown (\# Shutdown) and health: An emerging role for social media. American journal of public health, 104(12), pp. 2248–2250. [bib]
2014	ML Kern, JC Eichstaedt, HA Schwartz, L Dziurzynski, LH Ungar, DJ Stillwell, M Kosinski, SM Ramones, ME Seligman (2014). The online social self an open vocabulary approach to personality. Assessment, 21(2), pp. 158–169. [bib]
2014	ML Kern, JC Eichstaedt, HA Schwartz, G Park, LH Ungar, DJ Stillwell, M Kosinski, L Dziurzynski, ME Seligman (2014). From “Sooo excited!!!” to “So proud”: Using language to study development.. Developmental psychology, 50(1), pp. 178. [bib]
2014	M Sap, G Park, J Eichstaedt, M Kern, D Stillwell, M Kosinski, L Ungar, HA Schwartz (2014). Developing Age and Gender Predictive Lexica over Social Media. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1146–1151. [bib]
2014	HA Schwartz, J Eichstaedt, ML Kern, G Park, M Sap, D Stillwell, M Kosinski, L Ungar (2014). Towards assessing changes in degree of depression through facebook. Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, pp. 118–125.[bib]
2013	HA Schwartz, JC Eichstaedt, ML Kern, L Dziurzynski, SM Ramones, M Agrawal, A Shah, M Kosinski, D Stillwell, ME Seligman, others (2013). Personality, gender, and age in the language of social media: The open-vocabulary approach. PloS one, 8(9), pp. e73791. [bib]
2013	HA Schwartz, JC Eichstaedt, ML Kern, L Dziurzynski, RE Lucas, M Agrawal, GJ Park, SK Lakshmikanth, S Jha, ME Seligman, others (2013). Characterizing Geographic Variation in Well-Being Using Tweets.. In ICWSM. [bib]
2013	HA Schwartz, JC Eichstaedt, L Dziurzynski, ML Kern, E Blanco, M Kosinski, D Stillwell, ME Seligman, LH Ungar (2013). Toward Personality Insights from Language Exploration in Social Media.. In AAAI Spring Symposium: Analyzing Microtext. [bib]
2013	HA Schwartz, J Eichstaedt, L Dziurzynski, E Blanco, ML Kern, S Ramones, M Seligman, L Ungar (2013). Choosing the right words: Characterizing and reducing error of the word count approach. Atlanta, Georgia, USA, pp. 296. [bib]
2012	S Jha, HA Schwartz, LH Ungar (2012). Penn: using word similarities to better estimate sentence similarity. In Proceedings of the First Joint Conference on Lexical and Computational Semantics-Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, pp. 679–683. [bib]
2012	A Kapelner, K Kaliannan, HA Schwartz, LH Ungar, DP Foster (2012). New Insights from Coarse Word Sense Disambiguation in the Crowd.. In COLING (Posters), pp. 539–548. [bib]
2012	HA Schwartz, F Gomez, LH Ungar (2012). Improving Supervised Sense Disambiguation with Web-Scale Selectors.. In COLING, pp. 2423–2440. [bib]
2011	HA Schwartz, F Gomez (2011). Evaluating semantic metrics on tasks of concept similarity. Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches: Issues and Approaches, pp. 324. [bib]
2011	HA Schwartz (2011). The Acquisition of Lexical Knowledge from the Web for Aspects of Semantic Interpretation. University of Central Florida Orlando, Florida. [bib]
2010	HA Schwartz, F Gomez (2010). UCF-WS: domain word sense disambiguation using web selectors. In Proceedings of the 5th International Workshop on Semantic Evaluation, pp. 392–395. [bib]
2009	JT Malin, C Millward, HA Schwartz, F Gomez, DR Throop, C Thronesbery (2009). Linguistic text mining for problem reports. In Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on, pp. 1578–1583. [bib]
2009	HA Schwartz, F Gomez (2009). Using web selectors for the disambiguation of all words. In Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, pp. 28–36. [bib]
2009	HA Schwartz, F Gomez (2009). Acquiring applicable common sense knowledge from the web. In Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics, pp. 1–9. [bib]
2008	HA Schwartz, F Gomez, C Millward (2008). A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs.. In FLAIRS Conference, pp. 213–218. [bib]
2008	HA Schwartz, F Gomez (2008). Acquiring knowledge from the web to be used as selectors for noun sense disambiguation. In Proceedings of the Twelfth Conference on Computational Natural Language Learning, pp. 105–112. [bib]
2006	H Schwartz (2006). Evolving Chord Progressions as Neural Networks. [bib]