Screening Twitter Users for Depression and PTSD with Lexical Decision Lists

2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop

Volumn , Issue , 2015, Pages 46-53

  Pedersen, Ted ^a  

^a UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION LISTS; LEXICAL FEATURES; TRAINING DATA; UNIVERSITY OF MINNESOTA DULUTH;

EID: 85010400989     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Satanjeev Banerjee and Ted Pedersen. 2003. The design, implementation, and use of the Ngram Statistics Package. In Proceedings of the Fourth International Conference on Intelligent Text Processing and Computational Linguistics, pages 370–381, Mexico City, February.
2. Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, and Margaret Mitchell. 2015. CLPsych 2015 shared task: Depression and PTSD on Twitter. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Denver, Colorado, USA, June. North American Chapter of the Association for Computational Linguistics.
3. Ted Pedersen. 2006. Determining smoker status using supervised and unsupervised learning with lexical features. In Working Notes of the i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data, Washington, DC, November.
4. Ted Pedersen. 2008. Learning high precision rules to make predictions of morbidies in discharge summaries. In Proceedings of the Second i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data, Washington, DC, November.
5. Ted Pedersen. 2012. Rule-based and lightly supervised methods to predict emotions in suicide notes. Biomedical Informatics Insights, 2012:5 (Suppl. 1):185–193, January.
6. John Pestian, Pawel Matykiewicz, Michelle Linn-Gust, Brett South, Ozlem Uzuner, Jan Wiebe, Kevin Cohen, John Hurdle, and Chris Brew. 2012. Sentiment analysis of suicide notes: A shared task. Biomedical Informatics Insights, 2012:5 (Suppl. 1):3–16, January.
7. Ozlem Uzuner, Ira Goldstein, Yuan Luo, and Isaac Kohane. 2008. Identifying patient smoking status from medical discharge records. Journal of the Medical Informatics Association, 15(1):14–24.
8. Ozlem Uzuner. 2009. Recognizing obesity and co–morbidities in sparse data. Journal of the Medical Informatics Association, 16(4):561–570.