公开(公告)号：US20180032897A1

公开(公告)日：2018-02-01

申请号：US15219401

申请日：2016-07-26

Applicant: International Business Machines Corporation

Inventor： Feng Cao ,  Boliang Chen ,  Zheng Yu

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/35 ,  G06N5/022 ,  G06N20/10

Abstract: Embedding representation for a document is generated based on clustering words in the document. Representative clusters are selected and 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.

公开(公告)号：US10762439B2

公开(公告)日：2020-09-01

申请号：US15219401

申请日：2016-07-26

Applicant: International Business Machines Corporation

Inventor： Feng Cao ,  Boliang Chen ,  Zheng Yu

IPC: G06N20/00 ,  G06F16/35 ,  G06N20/10 ,  G06N5/02

Abstract: 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.