PATENT CLAIM ANALYSIS

Application Number: 15980616
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["706", "047000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting and analyzing user reactions to messages received. One of the methods includes obtaining reaction data characterizing a reaction of a first user to a communication sent by a second user using a first communication service, wherein the first communication service allows users to react to received communications by selecting from a predetermined set of proprietary reactions that are supported by the first communication service; analyzing the reaction data to generate standardized reaction data that characterizes a sentiment of the reaction of the first user to the communication; mapping the standardized reaction data to one or more proprietary reactions from the predetermined set of proprietary reactions that are supported by the first communication service; and providing, to the first communication service, data identifying the one or more proprietary reactions.

Claim (Index 7):
A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising:\n obtaining reaction data characterizing a reaction of a first user to a communication sent by a second user using a first communication service, wherein the first communication service allows users to react to received communications by selecting from a predetermined set of proprietary reactions that are supported by the first communication service, and wherein the first user has not selected any proprietary reaction supported by the first communication service in response to the communication sent by the second user; analyzing the reaction data to generate standardized reaction data that characterizes a sentiment of the reaction of the first user to the communication, wherein the standardized reaction data comprises multiple reaction types and a respective associated confidence score for each reaction type; mapping, using a machine learning model, the standardized reaction data that characterizes the sentiment of the reaction of the first user to one or more proprietary reactions from the predetermined set of proprietary reactions that are supported by the first communication service using a machine learning model, wherein the machine learning model has been trained on a training data set from communication history data of the first communication service to receive as input the standardized reaction data and to generate as output a score distribution over propriety reactions from the predetermined set of proprietary reactions that are supported by the first communication service; and providing, to the first communication service, data identifying the one or more proprietary reactions.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.5
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10781673', '15234127', '13115704', '12858601', '10781640']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3575906697644922
- 35 USC 102 Novelty (BERT): 0.4747048703643519
- Combined Prediction Score: 0.3693020898244782
- Mean Citation Score: 110.2982808
- Max Citation Score: 114.11836
- Similarity Product: 72.65434790328503

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test