Extracting product purchase information from electronic messages

Apparatus, comprising:

• a memory storing processor-readable instructions;
• and
• a processor coupled to the memory, operable to execute the instructions, and based at least in part on the execution of the instructions operable to perform operations comprising
• matching a selected electronic message to one of multiple clusters of electronic messages transmitted between physical network nodes to convey product purchase information to designated recipients, each cluster being associated with a respective grammar defining an arrangement of structural elements of electronic messages in the cluster;
• segmenting the selected electronic message into tokens comprising product purchase information;
• parsing the tokens in accordance with the grammar associated with the cluster matched to the selected electronic message, wherein the parsing comprises identifying ones of the tokens that correspond to respective ones of the structural elements defined in the grammar and extracting unidentified ones of the tokens as field tokens;
• determining classification features of the selected electronic message;
• classifying respective ones of the extracted field tokens with respective product purchase relevant labels based on respective ones of the determined features;
• and
• in non-transitory computer-readable memory, storing associations between the product purchase relevant labels and the product purchase information corresponding to the respective ones of the extracted field tokens in one or more data structures permitting computer-based generation of actionable purchase history information.

At least one non-transitory computer-readable medium having processor-readable program code embodied therein, the processor-readable program code adapted to be executed by a processor to implement a method comprising:

• matching a selected electronic message to one of multiple clusters of electronic messages transmitted between physical network nodes to convey product purchase information to designated recipients, each cluster being associated with a respective grammar defining an arrangement of structural elements of electronic messages in the cluster;
• segmenting the selected electronic message into tokens comprising product purchase information;
• parsing the tokens in accordance with the grammar associated with the cluster matched to the selected electronic message, wherein the parsing comprises identifying ones of the tokens that correspond to respective ones of the structural elements defined in the grammar and extracting unidentified ones of the tokens as field tokens;
• determining classification features of the selected electronic message;
• classifying respective ones of the extracted field tokens with respective product purchase relevant labels based on respective ones of the determined features;
• and
• in non-transitory computer-readable memory, storing associations between the product purchase relevant labels and the product purchase information corresponding to the respective ones of the extracted field tokens in one or more data structures permitting computer-based generation of actionable purchase history information.

Apparatus, comprising:

• a product purchase information token parser for
• matching a selected electronic message to one of multiple clusters of electronic messages transmitted between physical network nodes to convey product purchase information to designated recipients, each cluster being associated with a respective grammar defining an arrangement of structural elements of electronic messages in the cluster,
• segmenting the selected electronic message into tokens comprising product purchase information, and
• parsing the tokens in accordance with the grammar associated with the cluster matched to the selected electronic message, wherein the parsing comprises identifying ones of the tokens that correspond to respective ones of the structural elements defined in the grammar and extracting unidentified ones of the tokens as field tokens;
• and
• a product purchase information token classifier for
• determining classification features of the selected electronic message;
• classifying respective ones of the extracted field tokens with respective product purchase relevant labels based on respective ones of the determined features;
• and
• non-transitory computer-readable memory storing associations between the product purchase relevant labels and the product purchase information corresponding to the respective ones of the extracted field tokens in one or more data structures permitting computer-based generation of actionable purchase history information.