SYSTEMS AND METHODS FOR INTENT CLASSIFICATION OF MESSAGES IN SOCIAL NETWORKING SYSTEMS

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United States of America Patent

SERIAL NO

15203493

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Abstract

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Systems, methods, and non-transitory computer-readable media according to certain aspects can receive at least one message sent by a user of a social networking system to a page provided by the social networking system, where the page is associated with an entity. A training data set including a plurality of messages can be determined, and the training data set can indicate an intent classification for each of the plurality of messages. The intent classification can be indicative of an intent associated with a particular message. A machine learning model may be trained based at least in part on the training data set. A first intent classification for the at least one message can be determined, based at least in part on the machine learning model.

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Patent Owner(s)

Patent OwnerAddress
META PLATFORMS INC1601 WILLOW ROAD MENLO PARK CA 94025

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Lin, Shuyang Menlo Park, US 5 115
Nambiar, Akhil San Francisco, US 4 127
Schmid, Matthew Logan New York, US 8 163
Weinsberg, Ehud Menlo Park, US 12 202
Xie, Tianyu Jersey City, US 33 703

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