Janya Journal Processor
The Janya Journal Processor™ analyzes, identifies and extracts key information from the text of articles in PDF format through the use of innovative natural language processing capabilities.
Further, since the Janya Journal Processor™ is based on the Semantex™ platform, it can also extract and tag domain-specific categories of information such as chemicals, products, diseases, symptoms, interactions, etc. from free text sections. The Janya Journal Processor™ is designed to be extensible, and to enrich content management and advanced search applications.
The Janya Journal Processor™ is a unique tool that leverages Semantex’s customizable machine learning and grammar rule techniques to extract metadata using document style information, while also providing traditional Semantex™ capabilities for text analysis.
Make Your Scientific and Technical Content Discoverable
The Janya Journal Processor™ ingests documents in PDF format and provides dynamic metadata and Semantex™ domain-specific concept categories in a configurable XML format that can be easily indexed by a variety of search and content management systems.
Adapt Metadata Extraction to Custom Knowledge Requirements
The Janya Journal Processor™ leverages document style information such as font sizes, formatting, etc. to identify individual sections and fields within documents. The tool is extensible to a range of PDF article formats and languages to meet custom knowledge requirements. In addition, the full range of the Semantex™ platform’s customizable text analysis capabilities are available to any Janya Journal Processor™ solution for deep domain-specific contextual analysis and extraction.
Semantex Multilingual Search and Triage
