Natural Language ProcessingHOW TO PROCESS AND ANALYZE LARGE AMOUNTS OF NATURAL LANGUAGE DATA
Critical Capabilities for Business Intelligence and Analytics Platforms (2017)
Why does Natural Language Processing (NLP) matter?
How to profit from PoolParty's Natural Language Processing capabilities?
PoolParty NLP-based Applications
Semantic SearchBased on PoolParty GraphSearch we developed a graph-based HR analytics demo application. We bundled several internal and external HR data sources over a semantic layer to gain insights about employee skills compared with salaries and industry trends.
Based on PoolParty Entity Extractor we annotated employees’ CVs with concepts from our HR taxonomy. We transformed all data into RDF and stored it to an RDF triple store. This way we have all data sources integrated and ready for multifaceted knowledge discovery, analytics, and recommendation functionalities.
Smart AssistantsPoolParty underpins automation solutions based on knowledge graphs, machine learning and natural language processing (NLP) for customer support services.
Bots and virtual assistant systems benefit from expressive semantic knowledge models that support users with guidance and a more precise interpretation of natural language queries.
PoolParty can enhance different chatbot frameworks with smart and contextualized entity extraction and classification services.