A graph-based text mining tool at the highest level
The PoolParty Extractor is an intelligent text mining tool based in semantic technologies. The PoolParty Extractor analyzes documents and text, and extracts meaningful phrases, named entities, categories or other metadata automatically with high throughput and accuracy. Machine learning based Named-entity Recognition (NER) capabilities are also part of the PoolParty Extractor, allowing organizations to take advantage of natural language processing techniques and graph-based text mining.
The PoolParty Extractor is implemented in an “annotation pipeline,” where initial text mining is done through the Extractor, and additional services, such as Corpus Analysis and concept tagging, can be used to further enhance the annotations. This keeps the system flexible and allows it to be adapted quickly to new requirements.
Extraction of concepts, terms, and named entities
PoolParty Extractor provides a performant, secure and clusterable semantic extraction service (in the cloud or on-premise) that is able to automatically extract the most relevant concepts, terms, and named entities from a given document or text fragment.
Word sense disambiguation
One frequently observed challenge in text analytics is ambiguous terms, that is, when different concepts share the same label. This leads to incorrect annotations in the text extraction process. The PoolParty Extractor can distinguish such occurrences based on the taxonomy structure and the local context of the ambiguous concepts.
Specialized entity detection
The Extractor’s graph-based text mining capabilities recognizes special entities separately from others. There are built-in methods for recognizing regular expressions (e.g. product codes or file numbers), timestamps, names or locations.
Classification and categorization
The Extractor can detect the “aboutness” of a text or text fragment through classification and categorization. Based on this methodology, domain-specific sentiment analysis we combine machine learning algorithms (SVM, Deep Learning, Naive Bayes, and more) with semantic knowledge graphs. The analysis is based on training calculations which are run in an easy-to-use training environment.
Corpus learning and scoring
PoolParty’s corpus analysis features include corpus scoring, which denotes a value to a term based not on frequency but instead its importance. The corpus analysis generates a list of terms from the reference corpora and using advanced algorithms, scores the terms that are most relevant to the text. The corpus scoring allows users to avoid incorporating general language in the taxonomy, and rather have specific concepts added to their domain.
Main Benefits of PoolParty Extractor
- Advanced text mining based on SKOS standard taxonomies
- Ability to discern language ambiguities with concepts
- Contextual processing via semantic knowledge graphs
- Text analysis with natural language processing
- Enriched metadata for better findability of content
- Improved search and intelligent content recommendations
- Foundation for semantic knowledge models and applications
Semantic Solutions with Graph-Based Text Mining
The PoolParty Semantic Suite is celebrated for being easy to use and easy to integrate with existing customer systems. This works in favor of customers who wish to enhance their foundational taxonomies and text mining capabilities by building intelligent semantic solutions on top.
Due to its APIs, PoolParty’s PowerTagging solution can be integrated into specific customer systems or used in ready-made integrations with SharePoint, Tridion Sites, and Adobe Experience Manager.
Semantic search capabilities in PoolParty PowerTagging for SharePoint.
See how in a matter of seconds, the number of search results were reduced from 250 entries to 14.
Recommendation capablities in free Wine & Cheese demo.
Taking the perspective of a deli vendor, see product profiles and their unique flavor pairings.
If a customer has just purchased a pair of black sneakers, for example, the recommender system will suggest a running tracksuit or other sports equipment – not more black sneakers. These queries are far more advanced and helpful to the user, fostering happy purchasing experiences.
How Customers Have Taken Advantage of Our Text Mining Tool
The Renewable Energy and Energy Efficiency Partnership (REEEP) is a customer of PoolParty who used text mining and the PoolParty Thesaurus to build their tool, the Climate Tagger. The Climate Tagger is a collection of documents and data pertaining to the climate industry that can be used as a reference point for researchers in the field.
More than 700 thousand documents were uploaded into PoolParty to extract and tag relevant concepts.
Try Our Free Demos
Named Entity Recognition
Automatically extract concepts, terms, and entities from text. Classify documents.
Extract information from legal contracts to make contract mangement easier.
You want to learn more about the PoolParty Extractor? To see it in action? Do you have a special problem to solve?