Systems and methods for classification of comments for pages in social networking systems
AssigneeFacebook, Inc.
InventorsMatthew Logan Schmid, Ehud Weinsberg
Life of this patent
Estimating the term…
Abstract
Systems, methods, and non-transitory computer-readable media according to certain aspects can obtain a comment submitted by a user on a page associated with an entity. A training data set, including a plurality of comments, that indicates whether each of the plurality of comments is actionable can be determined. A machine learning model can be trained based on the training data set. Whether the comment is actionable can be determined based at least in part on the machine learning model.
Claims20
A computer-implemented method comprising:
- obtaining, by a computing system, a comment submitted by a user on a page associated with an entity;
- determining, by the computing system, a training data set, including a plurality of comments, that indicates whether each of the plurality of comments is actionable;
- training, by the computing system, a machine learning model based on the training data set;
- and
- determining, by the computing system, whether the comment is actionable based at least in part on the machine learning model.
A system comprising:
- at least one hardware processor;
- and
- a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
- obtaining a comment submitted by a user on a page associated with an entity;
- determining a training data set, including a plurality of comments, that indicates whether each of the plurality of comments is actionable;
- training a machine learning model based on the training data set;
- and
- determining whether the comment is actionable based at least in part on the machine learning model.
A non-transitory computer readable medium including instructions that, when executed by at least one hardware processor of a computing system, cause the computing system to perform a method comprising:
- obtaining a comment submitted by a user on a page associated with an entity;
- determining a training data set, including a plurality of comments, that indicates whether each of the plurality of comments is actionable;
- training a machine learning model based on the training data set;
- and
- determining whether the comment is actionable based at least in part on the machine learning model.
Dependencies are inferred from the claim text.