Listed in Agency
At Pingar, we want to make analyzing text as easy as analyzing data in databases. Unstructured data such as text represents 80% of your organization’s content and grows at 45-60% annually (according to Gartner, Inc). Being able to organize, collate and identify what is relevant, active and important is an ongoing problem with significant measurable financial implications for any organization.
We’ve got some smart people working on this at Pingar with PhD after their names. Our staff are trained using Stanford NLP materials. Meanwhile, our research roots go back to leading institutions in this area including the University of Waikato in New Zealand, one of the pioneers in Natural Language Processing (NLP), the University of Swansea in the United Kingdom and PolyU in Hong Kong.
We’ve also got world-leading partners who provide local services to government and enterprise customers in North America, Asia, Australia and New Zealand.
Automatic Metadata Extraction (automatic document tagging)
Pingar creates metadata every time a document is created or updated. It is automatic and, therefore, doesn’t require any human interaction. Pingar identifies phrases that describe the main topics, categorizes content and matches it against a taxonomy that can be defined by the business. It can quickly detect organizations or companies, people, locations, addresses, account numbers, dates, and many other custom created entities. It is also able to match: similar terms, misspellings of words, equivalent spelling in different variations of English and other language issues (specific examples are provided in the video on the right). Furthermore, Pingar is compatible with other languages such as Chinese or French, Italian, German, Arabic, etc.
Automatic Metadata Improves SharePoint Search
Pingar improves SharePoint search by having clearly classified and categorized metadata. It provides relevant search refiners which allow your users to ignore irrelevant search results by showing categories, topics and other types of metadata. Automatic metadata extraction makes SharePoint search fast and relevant.