View source for 17956719. ALERT GENERATION BY AN INCIDENT MONITORING SYSTEM simplified abstract (Atlassian Pty Ltd.)

=ALERT GENERATION BY AN INCIDENT MONITORING SYSTEM=


==Organization Name==

[[:Category:Atlassian Pty Ltd.|Atlassian Pty Ltd.]]


[[Category:Atlassian Pty Ltd.]]

==Inventor(s)==

[[:Category:Ankesh Khemani of Bangalore (IN)|Ankesh Khemani of Bangalore (IN)]][[Category:Ankesh Khemani of Bangalore (IN)]]

[[:Category:Akshar Prasad of Bangalore (IN)|Akshar Prasad of Bangalore (IN)]][[Category:Akshar Prasad of Bangalore (IN)]]

==ALERT GENERATION BY AN INCIDENT MONITORING SYSTEM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17956719 titled 'ALERT GENERATION BY AN INCIDENT MONITORING SYSTEM

==Simplified Explanation==

The abstract describes a method and computer readable medium for generating alerts based on sentiments associated with content items related to a software application on a social media platform.

* The method involves retrieving content items from a social media platform related to a software application, determining sentiments associated with each item based on textual data, and identifying potential incidents based on these sentiments.
* If a potential incident is detected, an alert message is generated and communicated to a monitoring system.

== Potential Applications ==
This technology could be applied in social media monitoring tools for software companies to track user sentiment and detect potential issues or incidents related to their applications.

== Problems Solved ==
This technology helps in proactively identifying and addressing potential incidents or issues with software applications based on user sentiments expressed on social media platforms.

== Benefits ==
- Early detection of potential incidents related to software applications
- Improved customer satisfaction by addressing issues promptly
- Enhanced reputation management for software companies

== Potential Commercial Applications ==
"Social Media Sentiment Analysis for Software Incident Detection"

== Possible Prior Art ==
One possible prior art for this technology could be sentiment analysis tools used in social media monitoring for brand reputation management.

== Unanswered Questions ==

=== How accurate is the sentiment analysis in detecting potential incidents? ===
The abstract does not provide details on the accuracy of the sentiment analysis in identifying potential incidents related to software applications.

=== What is the process for communicating the alert message to the monitoring system? ===
The abstract does not elaborate on the specific method or mechanism used to communicate the alert message to the monitoring system.


==Original Abstract Submitted==

Method and computer readable medium for generating alerts are disclosed. The method includes retrieving a plurality of content items created or updated in a particular time period at a social media platform in relation to a software application of interest, and determining one or more sentiments associated with each of the plurality of content items. The one or more sentiments determined based on textual data of the plurality of content items. The method further includes determining whether a potential incident has occurred in relation to the software application of interest based at least on the one or more sentiments associated with the plurality of content items. In response to determining that a potential incident has occurred in relation to the software application of interest, the method further includes generating an alert message indicating the potential incident and communicating the alert message to a monitoring system.



[[Category:G06F11/07]]