A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

This disclosure is directed to methods and systems that enable automatic recognition of the meaning, sentiment, and intent of an Internet meme. An Internet meme refers to a digitized image, video, or sound that is a unit of cultural information, carries symbolic meaning representing a particular phenomenon or theme, and is generally known and understood by members of a particular culture. The disclosed methods include automatic identification of a meme template and automatic detection of the sentiment and relationships between entities in the meme. The methods provide the determination of a meme's meaning as intended by its purveyors, as well as recognition of the original sentiment and attitudes conveyed by the use of entities within the meme.

A document analysis system uses trained machine learning models to assess risks to a potential signer of a document. The document analysis system receives a document for analysis along with information about the document type and identification of jurisdictions whose regulations apply to the document. A content analysis model associated with the document type compares the document to known documents of the same document type and generates a risk value associated with signing the document that is based on differences between the document and the known documents of the same document type. A jurisdictional analysis model classifies document clauses according to whether they meet certain requirements of documents according to the regulations of the jurisdiction. The model outputs are used to generate a document summary that a user can interact with to review the document in an informed manner.

A document analysis system uses trained machine learning models to assess risks to a potential signer of a document. The document analysis system receives a document for analysis along with information about the document type and identification of jurisdictions whose regulations apply to the document. A content analysis model associated with the document type compares the document to known documents of the same document type and generates a risk value associated with signing the document that is based on differences between the document and the known documents of the same document type. A jurisdictional analysis model classifies document clauses according to whether they meet certain requirements of documents according to the regulations of the jurisdiction. The model outputs are used to generate a document summary that a user can interact with to review the document in an informed manner.

Methods, apparatus, systems, and articles of manufacture are disclosed to improve tagging accuracy. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to at least search a first row of a document to identify a first row that includes a first type of entity, search the first row of the document to identify a second type of entity that is missing, search the first row of the document to identify a first integer value, and associate the first row with a product corresponding to the first integer value.

Methods, apparatus, systems, and articles of manufacture are disclosed to improve tagging accuracy. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to at least search a first row of a document to identify a first row that includes a first type of entity, search the first row of the document to identify a second type of entity that is missing, search the first row of the document to identify a first integer value, and associate the first row with a product corresponding to the first integer value.

Systems and methods for generating notifications based on extracted data from documents using a machine learning algorithm. The method includes receiving a document uploaded by a user including data corresponding to the user. The method further includes receiving an indication from the user granting permission to extract the data from the document. The method also includes extracting the data from the document using optical character recognition. The method further includes determining a document type based on the extracted data and document format data using a machine learning algorithm. The method also includes verifying the extracted data based on the determined document type and user data. The method also includes identifying a triggering event corresponding to the document based on the extracted data and the user data. The method further includes generating a notification corresponding to the triggering event.

The disclosure includes a device and method for receiving image data, controlling to recognize one of image information and text information from the received image data and divide and store one of the recognized image information and text information into patient information and clinical information and change trend information according to treatment in a predetermined data format regardless of a language of the recognized text information, and displaying a personal health record including the stored patient information and clinical information according to a request and a recording medium thereof.

The disclosure includes a device and method for receiving image data, controlling to recognize one of image information and text information from the received image data and divide and store one of the recognized image information and text information into patient information and clinical information and change trend information according to treatment in a predetermined data format regardless of a language of the recognized text information, and displaying a personal health record including the stored patient information and clinical information according to a request and a recording medium thereof.