Notification of potentially problematic textual messages

• US 9,747,275 B1
• Filed: 01/26/2017
• Issued: 08/29/2017
• Est. Priority Date: 08/09/2016
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Barsness, Eric L., Bryant, Jay S., Carey, James E., Cropper, Joseph W., Santosuosso, John M.
• Primary Examiner(s): Pham, Timothy
• Application Number:
  US15/415,923
• Time in Patent Office: 215 Days
• Field of Search: 4554042
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: H04L 51/00 User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

A processor may determine, using natural language processing, a writing style of content of a composed message written by a composer. The processor may analyze, using natural language processing, a set of previous message written by the composer. The processor may identify, based on the analyzing, writing habits of the composer. The processor may also identify a difference between the writing style of the content and the writing habits of the composer. The processor may display a notification of the difference to the user.

Claims

1. A method comprising:

determining, by a processor, a writing style of content of a composed message written by a composer, wherein the determining a writing style comprises cross-referencing each term in the composed message against a corpus to determine a number of slang terms used in the composed message and further developing a first professionalism score of the writing style based on the number of slang terms used in the composed message;

determining, by the processor, a recipient category, recipient-type category, and communication-medium category of the composed message;

selecting, by the processor, a set of previous messages written by the composer, wherein the set of previous messages comprises an equal number of previous messages from each of the recipient category, recipient-type category, and communication-medium category;

analyzing, by the processor and using natural language processing, the set of previous messages written by the composer, wherein the analyzing comprises cross-referencing each term in each previous message against the corpus to determine a number of slang terms used in each previous message;

identifying, by the processor and based on the analyzing, writing habits of the composer, wherein the writing habits of the composer is based on the number of slang terms used in each previous message;

identifying, by the processor, a difference between the writing style of the content and the writing habits of the composer; and

displaying, by the processor and through a graphical user interface, a notification of the difference to the composer.