公开(公告)号：US20190311035A1

公开(公告)日：2019-10-10

申请号：US15945996

申请日：2018-04-05

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Tanya Goyal ,  Projjal Chanda ,  Kushal Chawla ,  Jaya Singh

IPC: G06F17/27 ,  G06N5/04 ,  G06N99/00

Abstract: Techniques are disclosed for predicting a tone of a text communication using psycholinguistic features of the text communication. In some examples, a method may include generating a feature vector for a text communication using features, including psycholinguistic features, extracted from the text communication, and predicting a tone of the text communication based on the feature vector. The tone is predicted by a trained prediction module that is trained using psycholinguistic features of text communications in a training set used to train the trained prediction module. The predicted tone is at least one of a predicted measure of frustration, a predicted measure of formality, and a predicted measure of politeness.

公开(公告)号：US10796095B2

公开(公告)日：2020-10-06

申请号：US15945996

申请日：2018-04-05

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Tanya Goyal ,  Projjal Chanda ,  Kushal Chawla ,  Jaya Singh

IPC: G06F40/30 ,  G06N5/04 ,  G06N20/00 ,  G06F40/211 ,  G06F40/284

Abstract: Techniques are disclosed for predicting a tone of a text communication using psycholinguistic features of the text communication. In some examples, a method may include generating a feature vector for a text communication using features, including psycholinguistic features, extracted from the text communication, and predicting a tone of the text communication based on the feature vector. The tone is predicted by a trained prediction module that is trained using psycholinguistic features of text communications in a training set used to train the trained prediction module. The predicted tone is at least one of a predicted measure of frustration, a predicted measure of formality, and a predicted measure of politeness.

公开(公告)号：US10922492B2

公开(公告)日：2021-02-16

申请号：US16024131

申请日：2018-06-29

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Tanya Goyal ,  Projjal Chanda ,  Kushal Chawla ,  Jaya Singh ,  Cedric Huesler

IPC: G06F40/30

Abstract: Techniques are disclosed to assist an author in creating content variations of a given input text to better suit the mood or the affect preferences of the target audience. Affect distribution in the content is utilized to capture these psycholinguistic preferences. According to one embodiment, in a first phase the optimal/idea psycholinguistic preference for text content aimed at a particular audience segment is determined. In a second phase, a given text content is modified to align to a target language distribution, which was determined in the first phase. In one example case, word level replacement, insertions and deletions are executed to generate a modified and coherent version of the input text. The output text thus reflects the psycholinguistic requirements of the audience.

公开(公告)号：US20200004820A1

公开(公告)日：2020-01-02

申请号：US16024131

申请日：2018-06-29

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Tanya Goyal ,  Projjal Chanda ,  Kushal Chawla ,  Jaya Singh ,  Cedric Huesler

IPC: G06F17/27

Abstract: Techniques are disclosed to assist an author in creating content variations of a given input text to better suit the mood or the affect preferences of the target audience. Affect distribution in the content is utilized to capture these psycholinguistic preferences. According to one embodiment, in a first phase the optimal/idea psycholinguistic preference for text content aimed at a particular audience segment is determined. In a second phase, a given text content is modified to align to a target language distribution, which was determined in the first phase. In one example case, word level replacement, insertions and deletions are executed to generate a modified and coherent version of the input text. The output text thus reflects the psycholinguistic requirements of the audience.