SMM4H 2017
Social Media Mining for Health Research and Applications

Table of Contents

• Preface
  
  

Session Papers

• NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake 1-11
  Svetlana Kiritchenko , Saif M. Mohammad , Jason Morin , Berry de Bruijn
• Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy 12-18
  Michael C. Smith , Mark Dredze , Sandra Crouse Quinn , David A. Broniatowski
• Development of an Adverse Drug Reaction Corpus from Consumer Health Posts for Psychiatric Medications 19-26
  Maryam Zolnoori , Timothy B. Patrick , Kin Wah Fung , Paul Fontelo , Anthony Faiola , Yi Shuan Shirley Wu , Kelly Xu , Jiaxi Zhu , Christina E. Eldredge
• Characteristics of Zika Behavior Discourse on Twitter 27-31
  Ashlynn R. Daughton , Dasha Pruss , Brad Arnot , Danielle Albers Szafir , Michael J. Paul
• vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers 32-39
  Hillol Sarker , Murtaza Dhuliawala , Nicholas Fay , Amar Das
• Characterizing HPV Vaccine Discourse On Reddit 40-41
  Yuki Lama , Dian Hu , Sandra Crouse Quinn , Amelia Jamison , David A. Broniatowski
• Recognizing Images of Eating Disorders in Social Media 42
  Robert Pless , Rebecca Begtrup , Lulwah Alkulaib , Samsara N. Counts , James Harnett , Justine-Louise Manning , Hong Xuan , David A. Broniatowski

Shared Task Overview

• Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017 43-48
  Abeed Sarker , Graciela Gonzalez

Shared Task System Descriptions

• Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter 49-53
  Sifei Han , Tung Tran , Anthony Rios , Ramakanth Kavuluru
• Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task 54-58
  Maksim Belousov , William Dixon , Goran Nenadic
• Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter 59-63
  Kai Hakala , Farrokh Mehryary , Hans Moen , Suwisa Kaewphan , Tapio Salakoski , Filip Ginter
• Detection of Adverse Drug Reaction from Twitter Data 64-67
  Fuchiang Tsui , Lingyun Shi , Victor Ruiz , Amie D. Barda , Ye Ye , Diyang Xue , Fan Mi , Uktars Jain
• InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter 68-71
  Jasper Friedrichs , Debanjan Mahata , Shubham Gupta
• Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks 72-75
  Sarthak Jain , Xun Peng , Byron C. Wallace
• CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification 76-78
  Arjun Magge , Matthew Scotch , Graciela Gonzalez
• NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings 79-82
  Barathi Ganesh HB , Vinayakumar R , Anand Kumar M , Soman KP
• NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task 83-86
  Chen-Kai Wang , Nai-Wun Chang , Emily Chia-Yu Su , Hong-Jie Dai