Object word recommendation method, device and electronic equipment

A technology for recommending methods and objects, applied in the computer field, can solve the problems of time-consuming efficiency, low accuracy of object words, and low
CN110472140APending Publication Date: 2019-11-19TENCENT TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TENCENT TECH (SHENZHEN) CO LTD
Publication Date
2019-11-19

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Abstract

The embodiment of the invention provides an object word recommendation method, an object word recommendation device and electronic equipment, and belongs to the technical field of computers. The object word recommendation method comprises the steps of obtaining a first corpus belonging to a first field and a second corpus belonging to a second field; obtaining a first candidate item of the first corpus and a second candidate item of the second corpus; determining a target candidate item of the first corpus according to the first candidate item and the second candidate item; and processing thetarget candidate item through a binary classification model to obtain an object word of the first corpus. According to the technical scheme of the embodiment of the invention, the candidate item discovery technology and the classification model are combined. The machine learning technology in artificial intelligence is utilized to quickly, accurately and automatically discover the object words inthe corpus.
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Description

Technical field

[0001] The present disclosure relates to the field of computer technology, and in particular to a method, device and electronic device for recommending object words. Background technique

[0002] Regarding all kinds of massive user comment data on the Internet, in order to facilitate other users to quickly understand the key information in the user comment data, or to quickly find the information they want to know, it is necessary to extract the keywords, topic words, or Object words, etc., and displayed on the web page.

[0003] In the prior art, manually browsing a large amount of user comment data to select target words from them, which requires a lot of manpower and material resources, is time-consuming and inefficient. At the same time, due to human subjective factors, the accuracy of the filtered target words will be relatively low. low.

[0004] It should be noted that the information disclosed in the above background section is only used to enhance the under...

Claims

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