System and method for detecting the occurrence of an event and determining a response to the event

A non-transitory computer readable medium that includes instruction code that facilitates determining the occurrence of an event, the instruction code being executable by a machine for causing the machine to perform acts comprising:

• implementing an event detector engine configured to:
• receive data that defines a plurality of social media items;
• determine a geographic location associated with a predetermined number of social media items included in a target topic;
• in response to determining the geographic location, select and receive a real-time data feed associated with the determined geographic location;
• and
• 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 determine 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;
• implementing a reporting engine configured to:
• 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 the plurality of social media items, and 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;
• and
• implementing a clustering engine configured to:
• categorize the each social media item into each topic of a plurality of topics;
• and
• 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 that have been posted to the target topic.

A method for determining an occurrence of an event, the method comprising:

• receiving, by an event detector, data that defines a plurality of social media items;
• in response to receiving the data, categorizing, by a clustering engine, 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, determining, by the clustering engine, 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 selecting the target topic when a predetermined number of social media items have been posted within a predetermined amount of time to the target topic having the predetermined number of social media items that have been posted within the predetermined amount of time;
• in response to selecting the target topic, determining, by the event detector, a geographic location associated with the predetermined number of social media items included in the target topic;
• in response to determining the geographic location, selecting and receiving, by the event detector, a real-time data feed associated with the determined geographic location;
• in response to receiving the selected real-time data feed, analyzing the selected real-time data feed to determine the occurrence of an activity associated with the real-time data feed, and determining, by the event detector, 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 determining the occurrence of the event, determining, by a reporting processor, 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, identifying, by the reporting processor, a sentiment of the event by calculating a sentiment value that is an average value of a plurality of sentiments associated with the plurality of social media items, and determining 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.