Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.

ABSTRACT:

Background

Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts and their relationships in a specific field could be used as a semantic framework for social media data analytics.

Objective

The aim of this study was to refine an adolescent depression ontology and terminology as a framework for analyzing social media data and to evaluate description logics between classes and the applicability of this ontology to sentiment analysis.

Methods

The domain and scope of the ontology were defined using competency questions. The concepts constituting the ontology and terminology were collected f

SUBMITTER: Jung H 

PROVIDER: S-EPMC5547245 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature