Custom Text Analytics
Leverage the Notiora team's decades of text analytic experience, to find targeted solutions to your problems.
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Content Transformation: Unstructured to Structured
Unstructured text databases may contain a host of business-critical
facts, from names and addresses, to dates, prices, events, and other
nuggets. Notiora technology and services can help classify and extract
these facts, resulting in actionable business information.
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Content Aggregation and Normalization
Aggregation of content from disparate sources poses difficult problems.
In particular, the same kind of information may be represented
differently by the different sources, and may only be implicit
(embedded within unstructured text). Normalization - recoding families
of information in the same canonical way - is necessary before the
aggregated content can be uniformly searched and navigated.
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Taxonomy and Ontology Development and Maintenance
Notiora has extensive process expertise in the development of taxonomies,
ontologies, and data models. Assignment of items to categories in the
taxonomy, and normalization of items within categories, may be
semi-automated in many cases. Anomaly detection, applied on an
ongoing basis, can help maintain quality within the taxonomy.
