Architecture

Today, enterprises face an enormous information and knowledge management challenge. The disparate content silos created by applications such as CRM, ERP, emails, social networking sites, call center notes and the diverse forms such content resides in - structured & unstructured - poses an enormous challenge to those seeking intelligence and insight.

Our DisKoveror Text Analytics platform empowers the knowledge worker to discover, analyze and visualize the unknown and seemingly unrelated facts and relationships buried in all forms of digital assets for holistic intelligence
and insights.

DisKoveror Highlights

• Based on Natural Language Processing (NLP) techniques, our DisKoveror platform enables an analytical capability combining statistical, linguistic and ontology-based approaches. This capability results in highly precise and comprehensive extraction of entities, facts and relationships.
• Support storage of the extracted, structured data into a database/data warehouse enabling advanced analysis and data modeling.
• Support for domain and industry specific tag and extraction of items of interest. Domains supported include consumer electronics, healthcare, life sciences, finance, and retail fashion.
• Patent-pending, deep and high-accuracy sentiment analysis. The tunable sentiment analysis engine recognizes domain specific concepts and nuances to ensure dependable actionable sentiments. For example, our engine can deduce that long battery life is positive while a long recharge time is negative.
• Auto-classification and clustering capability based on popular entities and concepts. Support for rule-based classification for cluster normalization and manageability.
• Plug-and-play architecture allows for addressing numerous business problems including semantic search, metadata extraction, targeted ads, lead generation and customer feedback analysis.
• Infinitely scalable & implemented on commoditized hardware for low total cost of ownership.
• Full administration, monitoring and reporting capabilities.
• Standards compliant interfaces (REST/JSON/XML) & mashup friendly architecture for easy 3rd party tools and content integration.