Sindhu Kiranmai Ernala

Learn More
This paper presents a description of our submission to the C@merata task in MediaEval 2015. This submission is a revision to the system submitted for the same task in MediaEval 2014 including some bug fixing. The system answers the natural language queries over the musical scores. The approach is based upon two main steps: identifying the musical entities(More)
BACKGROUND Linguistic analysis of publicly available Twitter feeds have achieved success in differentiating individuals who self-disclose online as having schizophrenia from healthy controls. To date, limited efforts have included expert input to evaluate the authenticity of diagnostic self-disclosures. OBJECTIVE This study aims to move from noisy(More)
  • 1