Automatic detection of undesirable users of an online communication resource based on content analytics
AssigneeInternational Business Machines Corporation
InventorsGanesh N. Ramaswamy, Imed Zitouni
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Abstract
An exemplary processor-implemented method of determining whether a user of an online communication resource is an undesirable user includes the steps of building at least one model based on at least one feature of a feature set using at least one machine learning technique; and classifying the user by comparing at least one feature of the feature set that is associated with the user to the at least one model, a determination as to whether the user is an undesirable user being based at least in part on the classification of the user.
Claims24
A method of determining whether a user of an online communication resource has an undesirable behavioral personality, the method comprising the steps of:
- building at least one model based on at least one feature using at least one machine learning technique;
- classifying at least one behavioral characteristic of the user by comparing at least one feature of a feature set that is associated with the user to the at least one model, wherein the at least one feature of the feature set is a message content feature obtained through use of the online communication resource by the user;
- determining whether the user has an undesirable behavioral personality based at least in part on the classification of the behavioral characteristic of the user;
- wherein the building, classifying and determining steps are performed by a processing system comprising a processor coupled to a memory.
An electronic system for determining whether a user of an online communication resource has an undesirable behavioral personality, the electronic system comprising:
- a training module, operative to build at least one model based on at least one feature using at least one machine learning technique;
- and
- at least a first classifier, operative to:
- classify at least one behavioral characteristic of the user by comparing at least one feature of a feature set that is associated with the user to the at least one model, wherein the at least one feature of the feature set is a message content feature obtained through use of the online communication resource by the user;
- and to determine whether the user has an undesirable behavioral personality based at least in part on the classification of the behavioral characteristic of the user.
An apparatus for determining whether a user of an online communication resource has an undesirable behavioral personality, the apparatus comprising:
- at least one memory;
- and
- at least one processor coupled to the at least one memory and operative:
- to build at least one model based on at least one feature using at least one machine learning technique;
- to classify at least one behavioral characteristic of the user by comparing at least one feature of a feature set that is associated with the user to the at least one model, wherein the at least one feature of the feature set is a message content feature obtained through use of the online communication resource by the user;
- and
- to determine whether the user has an undesirable behavioral personality based at least in part on the classification of the behavioral characteristic of the user.
A computer program product for determining whether a user of an online communication resource has an undesirable behavioral personality, the computer program product comprising a computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising computer usable program code configured:
- to build at least one model based on at least one feature using at least one machine learning technique;
- to classify at least one behavioral characteristic of the user by comparing at least one feature of a feature set that is associated with the user to the at least one model, wherein the at least one feature of the feature set is a message content feature obtained through use of the online communication resource by the user;
- and
- to determine whether the user has an undesirable behavioral personality based at least in part on the classification of the behavioral characteristic of the user.
Dependencies are inferred from the claim text.