MC Miner™ is a state-of-the-art text mining engine developed by the data scientists of Molecular Connections. The platform allows mining information from a range of unstructured data sources to create structured outputs which can be used to develop custom knowledgebases.
Key features:
  • Can be also used as an indexing engine for developing an ontology
  • APIs for interacting with external systems
  • Supports concurrent access
  • In built load balancer to manage concurrent access
  • Custom MC Miner™ methods / algorithms
  • Entity Extraction
  • Topic Modelling
  • Sentiment analysis
  • Text Classification & Summarization

Application areas

  • Biology
  • Gene , Proteins ,Species, Disease, Processes
  • Chemistry
  • Physics
  • Economics
  • Production Engineering

Select Case Studies

The platform is presently employed in projects such as social media sentiment analysis, document fingerprinting, automated indexing and ontology development

Case Studies