Leveraging Psycholinguistic Resources and Emotional Sequence models for Suicide Note Emotion Annotation

Introduction

We describe the joint submission entered by SRI International and University of California at Davis for track 2 of the 2011 Medical NLP Challenge.
Our system implements a machine learning approach, and leverages a set of psycholinguistic resources to capture the emotional content of the text.