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.
Patent No.:
Date of Patent:
Jan. 04, 2022
Filed:
Apr. 28, 2020
International Business Machines Corporation, Armonk, NY (US);
Yang Yu, Acton, MA (US);
Haode Qi, Cambridge, MA (US);
Haoyu Wang, Somerville, MA (US);
Ming Tan, Malden, MA (US);
Navneet N. Rao, Arlington, MA (US);
Saloni Potdar, Arlington, MA (US);
Robert Leslie Yates, Arlington, MA (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A mechanism is provided to implement a text classifier training augmentation mechanism for incorporating unlabeled data into the generation of a text classifier. For each term of a plurality of terms in each document of a plurality of documents in a set of unlabeled data, a term frequency value is determined. The term is normalized by dividing the term frequency value by a total number of terms in the document. An inverse document frequency (idf) value is determined for each term based on the term frequency value. A subset of terms is filtered from the plurality of terms based the determined idf values. The idf values for the remaining terms are transformed into feature weights. Terms from a set of labeled data are re-weighted based on the feature weights determined from the set of unlabeled data. The text classifier is then generated using the re-weighted labeled data.