Event clustering and classification with document embedding

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United States of America Patent

PATENT NO 10762439
APP PUB NO 20180032897A1
SERIAL NO

15219401

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Abstract

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Embedding representation for a document is generated based on clustering words in the document. Representative clusters are selected and a weighted sum of the embeddings of the words in the selected clusters is determined as a document embedding. Documents are labeled based on document embeddings. A machine learning algorithm is trained using the documents. The machine learning algorithm predicts a label of a given document based on the given document's document embedding.

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Patent Owner(s)

Patent OwnerAddress
INTERNATIONAL BUSINESS MACHINES CORPORATIONNEW ORCHARD ROAD ARMONK NY 10504

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cao, Feng Shanghai, CN 106 842
Chen, Boliang Shanghai, CN 5 66
Yu, Zheng Shanghai, CN 188 857

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