Patent ID: 11934937
Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system comprising:
non-transitory memory storing instructions executable to predict an occurrence of an event; and
a processor configured to execute the instructions to:
receive data that defines a plurality of social media items;
in response to receiving the data, categorize each social media item of the plurality of social media items into each topic of a plurality of topics;
in response to categorizing the each social media item into the each topic, determine whether a plurality of social media items have been categorized to a target topic within a predetermined amount of time according to evaluating time stamps of the social media items, and select the target topic when a predetermined number of social media items have been posted to the target topic;
in response to selecting the target topic, determine a geographic location associated with the predetermined number of social media items included in the target topic;
in response to determining the geographic location, select and receive a real- time data feed associated with the determined geographic location;
in response to receiving the selected real-time data feed, analyze the selected real-time data feed to determine the occurrence of an activity associated with the real-time data feed, and predict the occurrence of the event based on a correlation between information in the plurality of social media items and the activity associated with the real-time data feed;
in response to predicting the occurrence of the event, determine an event type associated with the event by assessing the event type associated with each social media item of the plurality of social media items using distributional compositional semantics and hierarchical language modeling;
in response to determining the event type, identify a sentiment of the event by calculating a sentiment value that is an average value of a plurality of sentiments associated with all of the plurality of social media items;
determine a response type based on the identified sentiment of the event and supporting evidence of the determined event type; and
transmit a message associated with the determined response type to a first responder terminal.