Understand when an apple is a fruit, a company or a person.

Resolve ambiguities in text by quickly identifying the main people, organizations and places discussed and the relationships between concepts by assigning a specific meaning to each word.

Understand how to categorize documents.

Out of the box and without any training, categorize articles based on embedded taxonomies which include IPTC media topics and a geographic taxonomy.

Understand if the tone is positive or negative.

Sentiment analysis features evaluate concepts, as well as the relationships between these concepts, and other elements in text to identify whether the overall tone of the content is positive or negative.

Understand if the customer is feeling joy.

Leverage taxonomies of emotional and behavioral traits to identify the emotions displayed in text and the personality traits associated with a person. For example, if an email from a customer contains words associated with happiness, the writer’s state of mind will be categorized as happy.

Understand who did what.

Identify the relationships between the subject, action and object words (SAO) in a sentence to answer questions such as “who did what, when?”

Understand if information is sensitive.

Automatically identify and classify personally identifiable information (PII) that needs to be protected to maintain compliance with GDPR and other privacy regulations.

Understand the writer’s style.

Use Writeprint forensic linguistics to provide information on the readability of a text, vocabulary richness, document structure and grammar. This stylometric analysis can be used to identify characteristics of an author such as education level or compare multiple documents to identify the author.