| Vol-1996 urn:nbn:de:0074-1996-3 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# SMM4H 2017
Social Media Mining for Health Research and Applications

### 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.

Edited by

### Abeed Sarker *
Graciela Gonzalez *

* Health Language Processing Laboratory, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States

## 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

2017-11-15: submitted by Abeed Sarker, metadata incl. bibliographic data published under Creative Commons CC0
2017-11-16: published on CEUR-WS.org |valid HTML5|