Hansen Andrew Schwartz

I have eagerly accepted a position as Assistant Professor in the Computer Science Department at Stony Brook University (SUNY). I will be a Visiting Assistant Professor at the University of Pennsylvania for the 2014 - 2015 academic year, and moving to Stony Brook before the fall of 2015 where I will continue collaborations on large language analyses to better understand people.

Recent / Upcoming Trips:

• May 31-June 5, 2015: Denver, CO: Long poster on "Extracting Human Temporal Orientation in Facebook Language" and workshop presentation on "The Role of Personality, Age and Gender in Tweeting about Mental Illnesses" at the Conference of the North American Chapter of the Associatino for Computational Linguistics (NAACL-HLT-2015).
• May 22, 2015; New York, NY: symposium on "Computational Methods for Linguistic Insights into Personality and Behavior" at the Association for Psychoological Science convention.
• May 17, 2015; Chicago, Il: Panel on "Exploring Country-level Mortality Rates in the Language of Twitter" at the Computational Social Science Summit.
• Feb 27, 2015; Long Beach, CA: panel on "Finding Psychological Signal in a Billion Words" at the Society for Personality and Social Psychology Annual Convention.
• Feb 11, 2015; College Park, MD:talk on "Discovering Psychological and Health Insights from Social Media Language" for the Computational Linguistics and Information Processing group at the University of Maryland.
• Oct 30, 2014; Beijing: talk / session on social media data and its use for assessing community health at the International Conference on Big Data for Official Statistics.
• Oct 3, 2014; Baltimore: talk on "Computational Language Analyses for Health and Psychological Discovery" at the Center for Language and Speech Processing at Johns Hopkins.
• June 27, 2014; Baltimore: poster on "Towards Assessing Changes in Degree of Depression through Facebook" at the ACL 2014 Workshop on Computational Linguistics and Clinical Psychology.
• June 17, 2014; Mexico City: talk on work of World Well-Being Project at the INEGI / INFOTEC Seminar on Opportunities and Challenges for Big Data Phenomena for Official Information.
• May 23, 2014; San Francisco: panel on "Big Language Analyses" at the Association for Psychological Science convention.

Research Interests:

• large and scalable language analysis for computational social science
• understanding people and personality via language use
• measuring health and well-being based on social media
• computational linguistics / natural language processing
• lexical semantics
• word sense disambiguation and semantic interpretation
• eigenwords
• automatic knowledge acquisition from the Web

Publications:

2015

• [ pdf ] H. Andrew Schwartz, Lyle Ungar. 2015. Data-Driven Content Analysis of Social Media: A Systematic Overview of Automated Methods. in The ANNALS of the American Academy of Political and Scoail Science, 659(1), pp. 78--94.
• [ pdf ] H. Andrew Schwartz, Gregory Park, Maarten Sap, Evan Weingarten, Johannes Eichstaedt, Margaret Kern, David Stillwell, Michal Kosinski, Jonah Berger, Martin Seligman, and Lyle Ungar. 2015. Extracting Human Temporal Orientation in Facebook Language. in NAACL-2015: Conference of the North American Chapter of the Association for Computational Linguistics.
• [ pdf, press ] Johannes C. Eichstaedt, H. Andrew Schwartz, Margaret Kern, Gregory Park, D. Labarthe, R. Merchant, S. Jha, M. Agrawal, L. Dziurzynski, M. Sap, C. Weeg, E. Larson, L. Ungar, and M. Seligman. 2015. Psychological Language on Twitter Predict County-Level Heart Disease Mortality. in Psychological Science, 26(2).

2014

• [ link ] Gregory Park, H. Andrew Schwartz, Johannes Eichstaedt, Margaret Kern, David Stillwell, Michal Kosinski, Lyle Ungar, and Martin Seligman. 2014. Automatic personality assessment through social media language. in Journal of Personality and Solcial Psychology.
• [ pdf ] Maarten Sap, Gregory Park, Johannes Eichstaedt, Margaret Kern, Lyle Ungar, and H. Andrew Schwartz. 2014. Developing Age and Gender Predictive Lexica over Social Media. in EMNLP-2014: the 2014 Conference on Empirical Methods in Natural Language Processing.
• [ pdf ] H. Andrew Schwartz, Johannes Eichstaedt, Maarten Sap, Gregory Park, Margaret Kern, David Stillwell, Michal Kosinski, and Lyle Ungar. 2014. Towards Assessing Changes in Degree of Depression through Facebook. in ACL Workshop on Computational Linguistics and Clinical Psychology.
• [ pdf ] Raina Merchant, Yoonhe Ha, Charlene Wong, H. Andrew Schwartz, Maarten Sap, Lyle Ungar, and David Asch. 2014. The US Government #Shutdown and Health: an Emerging Role for Social Media. in the American Journal of Public Health.
• [ pdf ] M.L. Kern, J.C. Eichstaedt, H. A. Schwartz, G. Park, L. H. Ungar, D. J. Stillwell, M. Kosinski, L. Dziurzynski, and M.E.P. Seligman. 2013. From ``sooo excited!!!'' to ``so proud'': Using language to study development. in Developmental Psychology.
• [ pdf ] M.L. Kern, J.C. Eichstaedt, H. A. Schwartz, L. Dziurzynski, L. H. Ungar, D. J. Stillwell, M. Kosinski, S.M. Ramones, and M.E.P. Seligman. 2013. The Online Social Self: An Open Vocabulary Approach to Personality. in Assessment.

2013

• [ pdf, press: 1, 2, 3 ] H. Andrew Schwartz, Johannes Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Stephanie Ramones, M. Agrawal, A. Shah, A., M. Kosinski, D. Stillwell, Martin Seligman, and Lyle Ungar. 2013. Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach. in PLOS ONE 8(9).
• [ pdf, blog, press ] H. Andrew Schwartz, Johannes Eichstaedt, Richard Lucas, Lukasz Dziurzynski, Margaret L Kern, Gregory Park, Megha Agrawal, Shrinidhi K Lakshmikanth, Shneha Jha, Martin Seligman and Lyle Ungar. 2013. Characterizing Geographic Variation in Well-Being using Tweets. in Seventh International AAAI Conference on Weblogs and Social Media (ICWSM 2013). Boston, MA.
• [ pdf ] H. Andrew Schwartz, Johannes Eichstaedt, Eduardo Blanco, Lukasz Dziurzynski, Margaret L. Kern, Stephanie Ramones, Martin Seligman, and Lyle Ungar. 2013. Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. In *SEM-2013: Second Joint Conference on Lexical and Computational Semantics. Atlanta, GA.
• [ pdf ] H. Andrew Schwartz, Johannes Eichstaedt, Lukasz Dziurzynski, Margaret Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin Seligman, Lyle H. Ungar. 2013. Toward Personality Insights from Language Exploration in Social Media. In AAAI-2013 Spring Symposium: Analyzing Microtext. Stanford, California.

2012

• [ pdf ] H. Andrew Schwartz, Fernando Gomez, Lyle H. Ungar. 2012. Improving Supervised Sense Disambiguation with Web-scale Selectors. In COLing-2012: the 24th International Conference on Computational Linguistics. Mumbai, India.
• [ pdf ] Adam Kapelner, Krishna Kaliannan, H. Andrew Schwartz, Lyle Ungar and Dean Foster. 2012. New Insights from Coarse Word Sense Disambiguation in the Crowd. In COLing-2012: the 24th International Conference on Computational Linguistics. Mumbai, India.
• [ pdf ] Sneha Jha, H. Andrew Schwartz, Lyle H. Ungar. 2012. Penn: Using Word Similarities to better Estimate Sentence Similarity. In SemEval-2012: the 6th International Workshop on Semantic Evaluation. Montreal, Canada.
• Hansen A. Schwartz, Fernando Gomez. 2012. Chapter 21: Evaluating Semantic Metrics on Tasks of Concept Similarity. In Cross-Disciplinary Advances in Applied NLP: Issues and Approaches. IGI Global.

2008 - 2011

• [ pdf ] Hansen Andrew Schwartz. 2011. (Doctoral dissertation) The Acquisition of Lexical Knowledge from the Web for Aspects of Semantic Interpretation.
• [ pdf ] Hansen A. Schwartz, Fernando Gomez. 2011. Evaluating Semantic Metrics on Tasks of Concept Similarity. In FLAIRS-24. Palm Beach, Florida.
• [ pdf ] Hansen A. Schwartz, Fernando Gomez. 2010. UCF-WS: Domain Word Sense Disambiguation Using Web Selectors. In Proceedings of SemEval-2010: the 5th International Workshop on Semantic Evaluation. Uppsala, Sweden.
• [ pdf ] Hansen A. Schwartz, Fernando Gomez. 2009. Using Web Selectors for the Disambiguation of All Words. In NAACL-2009 Workshop on Semantic Evaluations: Recent Achievements and Future Directions. Boulder, CO, USA.
• [ pdf, data ] Hansen A. Schwartz, Fernando Gomez. 2009. Acquiring Applicable Common Sense Knowledge from the Web. In NAACL-2009 Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics. Boulder, CO, USA.
• J. T. Malin, C. Millward, H. A. Schwartz, F. Gomez, D. R. Throop, and C. Thronesbery. 2009. Linguistic Text Mining for Problem Reports. In IEEE International Conference on Systems, Man and Cybernetics. San Antonio, Texas.
• [ pdf ] Hansen A. Schwartz, Fernando Gomez. 2008. Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning. Manchester, England.
• [ pdf ] Hansen A. Schwartz, Fernando Gomez, Christopher Millward. 2008. A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs. In FLAIRS-21. Coconut Grove, Florida.

Downloads:

• Facebook LDA Topics 2000 topics derived from Facebook status updates
  (described in PLOS ONE paper).
• Five Factor Model of Personality Facebook Langauge Correlates
  • Openness [ csv, Excel file ]
  • Conscientiousness [ csv, Excel file ]
  • Extraversion [ csv, Excel file ]
  • Agreeableness [ csv, Excel file ]
  • Neuroticism [ csv, Excel file ]

• Concept Similarity Judgments sense-annotated versions of standard human-judgment datasets
  (described in FLAIRS-24 paper above).
• Normalized Depth Similarity Demo concept similarity based on normalized WordNet
  (described in the CoNLL-08 paper above).
• WordNet::Similarity::nd (e-mail to request software -- works with WordNet::Similarity module)
• CSK (`in' and `on' positive relationships) - Common Sense Knowledge for 30 nouns
• CSK experimental corpus - Annotated occurrences of 30 nouns

Other/Previous Research Interests:

• automatic spell correction for novel corpora
• SVM learning using WordNet features
• searching NASA space shuttle problem reports effectively using NLP
• Evolving Chord Progressions as Neural Networks [ECPANN]
• language and cognition
• dithering algorithms

Previously Instructed (at the Univ. of Central Florida):

• [ COP3330 ] Object Oriented Programming (Fall 06)
• COT3100 Recitation Introduction to Discrete Structures (Sum. 06)
• COP3503 Recitation Computer Science 2

Previous Affiliation:

• Postdoctoral Research Fellow,
• Computer & Information Science / Positiv Psychology Center
• University of Pennsylvania
• mentors: Lyle Ungar and Martin Seligman

• PhD Student,
• Artificial Intelligence Lab
• University of Central Florida
• advisor: Fernando Gomez