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:
Dec. 27, 2022

Filed:

Apr. 10, 2019
Applicant:

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

Inventors:

Ming Tan, Malden, MA (US);

Saloni Potdar, Arlington, MA (US);

Lakshminarayanan Krishnamurthy, Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01); G06F 16/31 (2019.01); G06F 16/383 (2019.01); G06F 16/901 (2019.01); G06F 40/44 (2020.01);
U.S. Cl.
CPC ...
G06K 9/6265 (2013.01); G06F 16/313 (2019.01); G06F 16/35 (2019.01); G06F 16/355 (2019.01); G06F 16/383 (2019.01); G06F 16/9024 (2019.01); G06F 40/44 (2020.01); G06K 9/623 (2013.01); G06K 9/6257 (2013.01); G06N 20/00 (2019.01);
Abstract

In response to running at least one testing phrase on a previously trained text classifier and identifying a separate predicted classification label based on a score calculated for each respective at least one testing phrase, a text classifier decomposes extracted features summed in the score into word-level scores for each word in the at least one testing phrase. The text classifier assigns a separate heatmap value to each of the word-level scores, each respective separate heatmap value reflecting a weight of each word-level score. The text classifier outputs the separate predicted classification label and each separate heatmap value reflecting the weight of each word-level score for defining a heatmap identifying the contribution of each word in the at least one testing phrase to the separate predicted classification label for facilitating client evaluation of text classification anomalies.


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