MC Analytics

MC Lexicon

Sentiment analysis, also called opinion mining, is the field of study that analyzes people’s opinions, sentiments, evaluations, appraisals, attitudes, and emotions towards entities such as products, services, organizations, individuals, issues, events, topics, and their attributes.

Approaches

  • Candidate term metadata as the entry point
  • Robust yet flexible architecture in terms of ontology structure
  • SKOS-JSON based – alleviates the need for complete transformation across different standards 
  • Workflow management system – Phase centric (Build Phases, Quality Control and Release)
  •  Quality/Release Management  – Reports/Exports and Imports
  •  Definition/Scope based ontology – ease of tracking changes
  •  APIs for integration and scale up
  •  REST APIs of components

Challenges

Generalized yet robust Ontology architecture to account for varied data sources

Ontology Management Workflow – accounting for Versioning and re-engineering

Interoperability of the underlying data structure

Technology

  • SKOS based to enable interoperability
  •  Phase Based Workflow Management System
  •  Network/Graph based modeling
  •  REST APIs of components