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:
Oct. 10, 2023

Filed:

Jan. 29, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Dong Jun Zong, Beijing, CN;

Da Li Liu, Beijing, CN;

Qi Feng Huo, Beijing, CN;

Yue Wang, Beijing, CN;

Jing Xing, Beijing, CN;

Jian Fang Zhang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 51/04 (2022.01); H04L 51/046 (2022.01); G06N 3/08 (2023.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/197 (2013.01); H04L 51/224 (2022.01); G06F 18/21 (2023.01); G06N 3/047 (2023.01); G06V 30/148 (2022.01); G06V 30/19 (2022.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
H04L 51/04 (2013.01); G06F 18/21 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01); G06V 30/153 (2022.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01); G10L 15/1815 (2013.01); G10L 15/197 (2013.01); G10L 15/22 (2013.01); H04L 51/046 (2013.01); H04L 51/224 (2022.05);
Abstract

Cognitive determination of whether a message is suitable for sending over a data communications network can include extracting tokens from the message prior to transmitting the message. One or more intended recipients of the message can be determined from the tokens. A machine learning classification model corresponding to the one or more recipients of the message can be selected. The machine learning classification model can be constructed based on tokens extracted from prior messages, which are combined to create a plurality of documents for training the machine learning classification model. The one or more tokens extracted from the message can be classified using the machine learning classification model. An alert message can be generated in response to determining based on the classifying that the message is unsuited for sending.


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