Determining tone differential of a segment

Patent metadata

Field	Value
Publication number	US-2019018893-A1
Application number	US-201514709419-A
Country	US
Kind code	A1
Filing date	May 11, 2015
Priority date	May 12, 2014
Publication date	Jan 17, 2019
Grant date	—

Abstract

Methods and apparatus for determining a tone differential between a given segment of a document and a larger segment of the document. The tone differential may be based on comparison of a first tone associated with the given segment and a second tone associated with the larger segment. The tone differential is indicative of the variance between the tone of the given segment and the tone of the larger segment.

First claim

What is claimed is:

1 . A computer-implemented method, comprising:
identifying a message trail utilizing one or more processors; determining, utilizing one or more of the processors, a first tone associated with a given segment of the message trail based at least in part on one or more segment terms of the given segment, wherein the given segment is typed by a user via an application executing on a client device of the user; determining, utilizing one or more of the processors, a second tone associated with at least one or more additional segments of the message trail, wherein the at least one or more additional segments represent a larger portion of the message trail than the given segment, and wherein the one or more additional segments include at least one additional segment, from the message trail, that is from an additional user, that is directed to at least the user, and that precedes, in time, the given segment typed by the user; determining, utilizing one or more of the processors, a tone differential between the given segment and the at least one or more additional segments based on comparison of:
the first tone associated with the given segment, and
the second tone associated with the one or more additional segments; and
providing, for presentation by the client device via the application via which the user typed the given segment, output that is based on the determined tone differential and that indicates variance of the given segment of the message trail from the one or more additional segments of the message trail.

2 . (canceled)

3 . (canceled)

4 . The computer-implemented method of claim 1 , wherein the at least one or more additional segments comprise all segments of the message trail.

5 . (canceled)

6 . (canceled)

7 . (canceled)

8 . The computer-implemented method of claim 1 , wherein the determining the first tone associated with the given segment based at least in part on the one or more segment terms of the given segment includes providing the one or more segment terms to a tone classifier and receiving an indication of the first tone from the tone classifier.

9 . (canceled)

10 . The computer-implemented method of claim 1 , wherein the determining the second tone associated with the at least one or more additional segments is based on one or more terms of the message trail.

11 . The computer-implemented method of claim 10 , wherein the determining the second tone associated with the at least one or more additional segments based at least in part on the one or more terms of the message trail includes providing the one or more terms to a tone classifier and receiving an indication of the second tone from the tone classifier.

12 . (canceled)

13 . The computer-implemented method of claim 1 , wherein the at least one or more additional segments include the given segment.

14 . A computer system, comprising:
a memory including stored instructions, the instructions including instructions to:
identify a document rendered by an application,
identify a given segment of the document based on association of the given segment with an entity, wherein the given segment includes a first text segment associated with the entity, and a second text segment associated with the entity, wherein the first text segment is included in the document, the second text segment is included in the document, and the second text segment is non-continuous with the first text segment;
determine a first tone associated with the given segment of the document based at least in part on one or more segment terms of the given segment,
determine a second tone associated with at least one or more additional segments of the document, wherein the at least one or more additional segments represent a larger portion of the document than the given segment,
determine a tone differential between the given segment of the document and the at least one or more additional segments of the document based on comparison of the first tone and the second tone, and
modify rendering of the document by the application based on the tone differential, wherein the instructions to modify the rendering of the document include instructions to visually flag the given segment as differing in tone from the at least one or more additional segments; and
one or more processors operable to execute the instructions stored in the memory.

15 . (canceled)

16 . (canceled)

17 . The system of claim 14 , wherein the at least one or more additional segments comprise all segments of the document.

18 . (canceled)

19 . (canceled)

20 . The system of claim 14 , wherein the instructions to determine the first tone associated with the given segment based at least in part on the one or more segment terms of the given segment includes instructions to provide the one or more segment terms to a tone determination system and receive an indication of the first tone from the tone determination system.

21 . The system of claim 14 , wherein the instructions to determine the second tone associated with the at least one or more additional segments include instructions to determine the second tone based on one or more terms of the document.

22 . The system of claim 14 , wherein the instructions to determine the second tone associated with the at least one or more additional segments include instructions to determine the second tone based on one or more of a document identifier associated with the document and links associated with the document.

23 . The system of claim 14 , wherein the at least one, or more additional segments include the given segment.

24 . A non-transitory computer readable storage medium storing computer instructions executable by a processor to perform a method comprising:
identifying a message trail; determining a first tone associated with a given segment of the message trail based at least in part on one or more segment terms of the given segment, wherein the given segment is typed by a user via an application executing on a client device of the user; determining a second tone associated with at least one or more additional segments of the message trail, wherein the at least one or more additional segments represent a larger portion of the message trail than the given segment, and wherein the one or more additional segments include at least one additional segment, from the message trail, that is from an additional user, that is directed to at least the user, and that precedes, in time, the given segment typed by the user; determining a tone differential between the given segment and the at least one or more additional segments based on comparison of:
the first tone associated with the given segment, and
the second tone associated with the one or more additional segments; and
providing, for presentation by the client device via the application via which the user typed the given segment, output that is based on the determined tone differential and that indicates variance of the given segment of the message trail from the one or more additional segments of the message trail.

Assignees

• Google Inc

Inventors

• Weiss Tania Bedrax
• Patterson Anna
• D'Silva Charmaine Cynthia Rose
• Mengle Advay
• Chen Jindong
• Chia Chih-Chun
• Noble Isaac
• Davidson James

Classifications

• G06F40/30

  Semantic analysis · CPC title

• G06F16/36

  Creation of semantic tools, e.g. ontology or thesauri · CPC title

• G06F16/353

  into predefined classes · CPC title

• G06F16/93

  Document management systems · CPC title

• G06F16/3344 Primary

  using natural language analysis · CPC title