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ORCID2nd SMM4H 2017: Washington, DC, USA
- Abeed Sarker, Graciela Gonzalez:
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), Washington D.C., United States, November 4, 2017. CEUR Workshop Proceedings 1996, CEUR-WS.org 2017
Session Papers
- Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. 1-11 - Michael C. Smith, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski:
Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy. 12-18 - Maryam Zolnoori, Timothy B. Patrick, Kin Wah Fung, Paul A. Fontelo, Anthony Faiola, Yi Shuan Shirley Wu, Kelly Xu, Jiaxi Zhu, Christina E. Eldredge:
Development of an Adverse Drug Reaction Corpus from Consumer Health Posts for Psychiatric Medications. 19-26 - Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul:
Characteristics of Zika Behavior Discourse on Twitter. 27-31 - Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Amar Das:
vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers. 32-39 - Yuki Lama, Dian Hu, Sandra Crouse Quinn, Amelia Jamison, David A. Broniatowski:
Characterizing HPV Vaccine Discourse On Reddit. 40-41 - Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski:
Recognizing Images of Eating Disorders in Social Media. 42
Shared Task Overview
- Abeed Sarker, Graciela Gonzalez:
Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. 43-48
Shared Task System Descriptions
- Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru:
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. 49-53 - Maksim Belousov, William G. Dixon, Goran Nenadic:
Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task. 54-58 - Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter:
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. 59-63 - Fu-Chiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Uktars Jain:
Detection of Adverse Drug Reaction from Twitter Data. 64-67 - Jasper Friedrichs, Debanjan Mahata, Shubham Gupta:
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. 68-71 - Sarthak Jain, Xun Peng, Byron C. Wallace:
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. 72-75 - Arjun Magge, Matthew Scotch, Graciela Gonzalez:
CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification. 76-78 - Barathi Ganesh H. B., R. Vinayakumar, M. Anand Kumar, K. P. Soman:
NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. 79-82 - Chen-Kai Wang, Nai-Wun Chang, Emily Chia-Yu Su, Hong-Jie Dai:
NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task. 83-86
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