The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 13, 2021

Filed:

Sep. 17, 2018
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Shengli Yan, Beijing, CN;

Cunxiang Yin, Beijing, CN;

Qian Yong, Beijing, CN;

Ting Wei, Beijing, CN;

Aikun Li, Beijing, CN;

Lu Wang, Beijing, CN;

Licen Liu, Beijing, CN;

Weijia Wu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01); G06F 16/35 (2019.01); G06F 40/279 (2020.01); G06F 40/205 (2020.01); G06F 40/242 (2020.01); G06F 16/31 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/355 (2019.01); G06F 40/279 (2020.01); G06K 9/6259 (2013.01); G06N 3/08 (2013.01); G06F 16/313 (2019.01); G06F 40/205 (2020.01); G06F 40/242 (2020.01);
Abstract

A method and an apparatus for generating information are provide according to embodiments of the disclosure. A specific embodiment of the method comprises: acquiring to-be-analyzed information according to a target keyword; and inputting the to-be-analyzed information into a pre-established sentiment analysis model to generate sentiment orientation information of the to-be-analyzed information. The sentiment analysis model is obtained through following training: acquiring untagged sample data and tagged sample data; generating tag information corresponding to the untagged sample data using a pre-established tag generation model, and using the untagged sample data and the generated tag information as extended sample data, the tag generation model being used to represent a corresponding relationship between the untagged sample data and the tag information; and obtaining the sentiment analysis model by training using the tagged sample data and the extended sample data.


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