Patent ID: 11972424
Assignee: AMAZON TECHNOLOGIES, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A computer-implemented method to detect evasive product listings, comprising:
receiving a dictionary related to a first category of items, wherein listing items of the first category of items on an e-commerce website is regulated by at least one of a regulatory body or the e-commerce website, and wherein the dictionary comprises keywords associated with the first category of items;
receiving text data associated with a first item, the text data comprising at least one of a title of the first item or a description of the first item, wherein the first item is associated with the first category of items;
generating a first plurality of tokens representing the text data by performing at least one of stop word removal, lemmatization, or tokenization;
generating a second plurality of tokens using a spelling correction component based on a presence of at least one of special characters or non-American Standard Code for Information Interchange (non-ASCII) characters and further based on the keywords associated with the first category of items;
generating, by the spelling correction component, first indicator data indicating that the text data associated with the first item includes evasive text based on the presence of the at least one of special characters or non-ASCII characters;
determining a first set of parameters for a binary classification component using training data comprising a positive training sample comprising a first vector representing evasive item text data labeled with a first ground truth label and a negative training sample comprising a second vector representing non-evasive item text data labeled with a second ground truth label;
generating, by a vectorizer component, a third vector comprising a numerical representation of the second plurality of tokens;
inputting the first indicator data and the third vector into the binary classification component;
generating, by the binary classification component using the first set of parameters, label data indicating that the text data associated with the first item is evasive; and
generating an alert based on the label data indicating that the text data associated with the first item is evasive.