Sinequa Upgrades Natural Language Processing and Data Connectors

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A recent press release reports, “Sinequa, a leader in intelligent enterprise search, today announced several new capabilities in its platform, now generally available. These critical capabilities include new connectors to expand the range of systems and formats that can be ingested. Additionally, there is support for named entity recognition packaged within the platform, for example, weights and measures and personally identifiable information (PII) across different geographies. Most notably, there are new capabilities to extend the platform’s ability to automatically conduct intelligent classification across vast amounts of indexed enterprise content and data.”

Philippe Motet, vice president of engineering at Sinequa, commented, “With the latest release, Sinequa can better serve the needs of customers in various industries like life sciences, manufacturing, and finance, which requires recognizing concepts and highly technical and specific vocabularies… We are improving the efficiency and speed at which employees can find relevant information and insights needed to make smarter and more effective business decisions.”

The release adds, “Sinequa has also expanded its natural language processing (NLP) capabilities with additional support for named entity recognition. For example, the new release recognizes PII, which enables instant identification of 24 categories of PII, enabling organizations to comply with privacy-protection legislation like GDPR more effectively. These entities cover 89 types within these categories. Some examples include BBAN, IBAN, credit card number, date of birth, driver’s license number for 13 countries, license plates for 11 countries, passport number for 13 countries, various national identification numbers for 14 countries, etc.”

Read more at sinequa.com.

Image used under license from Shutterstock.com

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