The CaRE Text Mining Platform
The Digital Trowel CaRE (CRF-Assisted Relationship Extraction) platform integrates cutting-edge technologies for the harvesting of data (structured and unstructured) from the Internet, the extraction of relevant information ("hybrid computational linguistics model") and the refining of information into actionable intelligence ("match and merge"). CaRE forms the core of our innovative technology.
The unsurpassed flexibility of our platform enables us to achieve a new level of completion, accuracy and relevance in the intelligence that we deliver, and gives our customers a unique rapid-application-development capability.
Digital Trowel has derived four primary engines from our CaRE platform:
"What we've done here is to crystallize the most advanced mathematics into a dream pattern-generation machine."
Our CaRE platform includes the industry's first implementation of the Hybrid Computational Linguistics Model for Information Extraction.
Based on proprietary technologies developed by our co-founder, Professor Feldman, and DT's senior development team, the Hybrid Model is a disciplined integration of the Pattern Matching Computational Linguistics approach and Supervised Machine Learning (CRF - Conditional Random Fields) approach to textual analytics. By crystallizing these disparate approaches into a unified mathematical model, CaRE is able to utilize superior patterns. In addition, systematic, state-of-the-art discourse analysis techniques are used to resolve anaphora (indirect references). As a result, CaRE is able to achieve a much higher level of precision and efficiency in its recognition and extraction of relevant data.
"At Digital Trowel, elegant and simple translates into faster and more accurate."
The hybrid approach makes CaRE a much more flexible engine than one-dimensional platforms. Using simple syntax, we are able to define target relations with a reduced number of rules, slashing the effort required to create applications and solutions in new domains. This enables us to scale the development process, to enhance accuracy and to speed the delivery of needed business intelligence in a dynamic environment.
Our hybrid approach extends to our information harvesting technologies. By using a variety of "crawlers" and integrating them with our prioritizing rules and targeting algorithms, we are able to bring a new efficiency to the data collection process, further enhancing our ability to pinpoint relevant data.
"Google gives you millions of 'hits,' and you 'mine' them to find which 10 are relevant. Our crawlers are much more focused: we give you tens of 'hits,' and all are spot-on."
One of our proprietary developments is a Visual Data Scraping Paradigm that makes it easier for CaRE to identify relevant information on corporate websites. This has been one of the secrets to our success in gathering voluminous deep-profile corporate data during the short period since we founded Digital Trowel.