Training detection model using output of language model applied to event information
US-2024419941-A1 · Dec 19, 2024 · US
US2016019552A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016019552-A1 |
| Application number | US-201514801263-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 16, 2015 |
| Priority date | Jul 16, 2014 |
| Publication date | Jan 21, 2016 |
| Grant date | — |
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Systems and methods include an application programming interface that enables a service provider system to interact with a social media system, a database associated with the customer service provider system, an empathy processor that transmits a request for empathy data to the social media system via a network using the application programming interface, wherein the request includes one or more keywords, and receives one or more empathy data segments from the social media system, wherein each of the one or more empathy data segments are associated with a user, a rules processor that evaluates the one or more empathy data segments based on a plurality of criteria, identifies the respective user associated with each of the one or more empathy data segments, and stores this classification in the database, and an alert processor associated with the customer service system that generates an alert based on the classification of the user.
Opening claim text (preview).
I claim: 1 . A system comprising: an application programming interface that enables a service provider system to interact with a social media system; a database associated with the customer service provider system; an empathy processor that transmits a request for empathy data to the social media system via a network using the application programming interface, wherein the request includes one or more keywords, and receives one or more empathy data segments from the social media system, wherein each of the one or more empathy data segments are associated with a user; a rules processor that evaluates the one or more empathy data segments based on a plurality of criteria, identifies the respective user associated with each of the one or more empathy data segments, and stores this classification in the database; and an alert processor associated with the customer service system that generates an alert based on the classification of the user. 2 . The system of claim 1 , wherein the one or more keywords include empathy keywords and industry keywords. 3 . The system of claim 2 , wherein the empathy keywords include keywords associated with a negative emotion. 4 . The system of claim 2 , wherein the empathy keywords include keywords associated with an implicit customer service request. 5 . The system of claim 1 , wherein to identify the respective user, the rules processor determines an association between a social media username and an account holder of the respective user. 6 . The system of claim 1 , wherein the rules processor classifies the identified user as an extreme user based on the evaluation of the one or more empathy data segments. 7 . The system of claim 1 , wherein the database stores account information account holders, and wherein the rules processor retrieves account information about the identified respective user and classifies the identified respective user based on the retrieved account information for the identified respective user. 8 . The system of claim 7 , wherein the retrieved account information for the identified respective user indicates the amount of online interaction the identified respective user has with the customer service system. 9 . The system of claim 7 , wherein the retrieved account information for the identified respective user indicates the career path of the identified respective user. 10 . The system of claim 7 , wherein the retrieved account information for the identified respective user indicates the credit score of the identified respective user.
After-sales · CPC title
Profile generation, learning or modification · CPC title
Business processes related to social networking or social networking services · CPC title
Physics · mapped topic
Physics · mapped topic
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